{"has_next":true,"jobs":[{"id":"55cd3fa3-a9a4-4e85-8ee6-328ca1be5a54","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Research Scientist ","slug":"senior-research-scientist-446bc234","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible.\n WHAT YOU WILL DO: \n \n Contribute to the direction of a talented small team with your expertise and ideas;\n Create mathematically principled solutions to some of the world’s most challenging information science problems;\n Prototype state-of-the-art algorithms in an agile development environment;\n Implement high-performance software spanning the spectrum from tactical systems to web applications;\n Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology;\n Engage with our customers, to ensure successful outcomes for their mission-critical needs;\n Help your colleagues and customers understand what you’re doing and why.\n \n REQUIRED QUALIFICATIONS: \n \n A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.\n Experience coding languages with Rust, C++, and Python.\n A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:\n \n Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;\n Engineering: controls, estimation theory, digital signal processing, and machine learning;\n Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;\n Probability: statistics and random processes.\n \n A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.\n Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance\n \n We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment. \n US Salary Range\n $190,000 — $252,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and what","salary_min":190000,"salary_max":252000,"location":"Broomfield, CO","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["payments","computer-vision","cloud","research"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5150395007?gh_jid=5150395007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T18:57:01Z","expires_at":"2026-06-29T14:06:50.575027Z","created_at":"2026-05-30T14:06:50.69205Z","updated_at":"2026-05-30T14:06:50.69205Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/55cd3fa3-a9a4-4e85-8ee6-328ca1be5a54"},{"id":"d37cc854-47d3-4768-bb06-13c027f4cb0d","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Research Scientist","slug":"senior-research-scientist-9894e287","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible.\n WHAT YOU WILL DO: \n \n Contribute to the direction of a talented small team with your expertise and ideas;\n Create mathematically principled solutions to some of the world’s most challenging information science problems;\n Prototype state-of-the-art algorithms in an agile development environment;\n Implement high-performance software spanning the spectrum from tactical systems to web applications;\n Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology;\n Engage with our customers, to ensure successful outcomes for their mission-critical needs;\n Help your colleagues and customers understand what you’re doing and why.\n \n REQUIRED QUALIFICATIONS: \n \n A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.\n Experience coding languages with Rust, C++, and Python.\n A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:\n \n Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;\n Engineering: controls, estimation theory, digital signal processing, and machine learning;\n Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;\n Probability: statistics and random processes.\n \n A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.\n Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance\n \n We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment. \n US Salary Range\n $190,000 — $252,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and what","salary_min":190000,"salary_max":252000,"location":"Fort Collins, CO","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["payments","computer-vision","cloud","research"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5150393007?gh_jid=5150393007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T18:57:01Z","expires_at":"2026-06-29T14:06:50.412308Z","created_at":"2026-05-30T14:06:50.532789Z","updated_at":"2026-05-30T14:06:50.532789Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d37cc854-47d3-4768-bb06-13c027f4cb0d"},{"id":"4d4aaea0-d65f-4984-a467-68828e91e16b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Research Scientist","slug":"research-scientist-03c490d7","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible.\n WHAT YOU WILL DO : \n \n Contribute to the direction of a talented small team with your expertise and ideas;\n Create mathematically principled solutions to some of the world’s most challenging information science problems;\n Prototype state-of-the-art algorithms in an agile development environment;\n Implement high-performance software spanning the spectrum from tactical systems to web applications;\n Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology;\n Engage with our customers, to ensure successful outcomes for their mission-critical needs;\n Help your colleagues and customers understand what you’re doing and why.\n \n REQUIRED QUALIFICATIONS: \n \n A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.\n A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:\n \n Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;\n Engineering: controls, estimation theory, digital signal processing, and machine learning;\n Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;\n Probability: statistics and random processes.\n \n A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.\n Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance\n US Salary Range\n $165,000 — $218,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment ","salary_min":165000,"salary_max":218000,"location":"Broomfield, CO","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["cloud","computer-vision","payments","research"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5150299007?gh_jid=5150299007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T18:05:13Z","expires_at":"2026-06-29T14:06:46.452393Z","created_at":"2026-05-30T14:06:46.569518Z","updated_at":"2026-05-30T14:06:46.569518Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4d4aaea0-d65f-4984-a467-68828e91e16b"},{"id":"2d08c87b-e684-477c-8ede-d52b9306fde1","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Research Scientist","slug":"research-scientist-9aa05d5e","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible.\n WHAT YOU WILL DO : \n \n Contribute to the direction of a talented small team with your expertise and ideas;\n Create mathematically principled solutions to some of the world’s most challenging information science problems;\n Prototype state-of-the-art algorithms in an agile development environment;\n Implement high-performance software spanning the spectrum from tactical systems to web applications;\n Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology;\n Engage with our customers, to ensure successful outcomes for their mission-critical needs;\n Help your colleagues and customers understand what you’re doing and why.\n \n REQUIRED QUALIFICATIONS: \n \n A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.\n A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:\n \n Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;\n Engineering: controls, estimation theory, digital signal processing, and machine learning;\n Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;\n Probability: statistics and random processes.\n \n A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.\n Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance\n US Salary Range\n $165,000 — $218,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment ","salary_min":165000,"salary_max":218000,"location":"Fort Collins, CO","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["cloud","payments","computer-vision","research"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5150296007?gh_jid=5150296007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T18:04:40Z","expires_at":"2026-06-29T14:06:46.536204Z","created_at":"2026-05-30T14:06:46.647508Z","updated_at":"2026-05-30T14:06:46.647508Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2d08c87b-e684-477c-8ede-d52b9306fde1"},{"id":"79614b75-dd99-448d-a2a2-5a1ebca21536","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Research Scientist","slug":"research-scientist-5f357ff4","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Anduril is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible.\n WHAT YOU WILL DO : \n \n Contribute to the direction of a talented small team with your expertise and ideas;\n Create mathematically principled solutions to some of the world’s most challenging information science problems;\n Prototype state-of-the-art algorithms in an agile development environment;\n Implement high-performance software spanning the spectrum from tactical systems to web applications;\n Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology;\n Engage with our customers, to ensure successful outcomes for their mission-critical needs;\n Help your colleagues and customers understand what you’re doing and why.\n \n REQUIRED QUALIFICATIONS: \n \n A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.\n A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:\n \n Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;\n Engineering: controls, estimation theory, digital signal processing, and machine learning;\n Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;\n Probability: statistics and random processes.\n \n A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.\n Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance\n US Salary Range\n $165,000 — $218,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment ","salary_min":165000,"salary_max":218000,"location":"Huntsville, Alabama, United States","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["payments","cloud","computer-vision","research"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5150279007?gh_jid=5150279007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T17:56:23Z","expires_at":"2026-06-29T14:06:46.695118Z","created_at":"2026-05-30T14:06:46.806824Z","updated_at":"2026-05-30T14:06:46.806824Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/79614b75-dd99-448d-a2a2-5a1ebca21536"},{"id":"73600478-6692-47ce-be77-2aebfb5bb4a2","company_id":"82d2abc2-444c-4d89-9646-4739e72d700d","title":"Machine Learning Engineer","slug":"machine-learning-engineer-5aefaff6","description":"About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .\n About the team/role \n We’re hiring an ML Engineer (P2) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data \u0026 ML organization within Engineering.\n Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.\n This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.\n This role sits in the central Data \u0026 ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.\n We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.\n  \n What you’ll do \n \n Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.\n Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.\n Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.\n Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.\n Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.\n Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.\n \n What you bring \n \n A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience\n 4+ years building software professionally, with at least 2 of those building ML systems that run in production\n Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Not scripts; software\n Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation\n You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on\n Comfortable with distributed systems concepts: queues, async processing, caching, horizontal scaling\n Experience with NLP tasks in production: classification, extraction, entity resolution, summarization\n Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal\n You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs. LLM, rule vs. model\n Strong communication skills; you explain technical decisions clearly to engineers and non-engineers alike, without hiding behind jargon\n You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it\n An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and t","salary_min":168000,"salary_max":198000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["nlp","code-generation","mlops","agents","payments","legal","distributed-systems","llm"],"apply_url":"https://job-boards.greenhouse.io/checkr/jobs/7966920","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T15:17:56Z","expires_at":"2026-06-29T14:10:31.076983Z","created_at":"2026-05-30T14:10:31.19215Z","updated_at":"2026-05-30T14:10:31.19215Z","company_name":"Checkr","company_slug":"checkr","company_logo_url":"https://www.google.com/s2/favicons?domain=checkr.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/73600478-6692-47ce-be77-2aebfb5bb4a2"},{"id":"960ff8ca-6a38-4ffc-893e-dd306a5479c9","company_id":"1c5cd464-c475-4739-a226-7268fa45343a","title":"Digital Customer Programs Manager","slug":"digital-customer-programs-manager-06d80811","description":"ABOUT ASSEMBLED\n\nGreat customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.\n\n\n\n\nTHE ROLE\n\nThe Digital Customer Programs Manager owns Assembled's Scale tier customer experience. The Scale tier is served through structured programs: self-serve resources, community engagement, and light-touch human interaction — not an assigned CSM relationship. This role sits in the Support org, within our broader Customer Experience department, and that's intentional. When customers hit technical friction, the response needs to be as disciplined as it is empathetic. You'll move fluidly between customer success instincts and technical support process rigor, with impact measured across the entire tier, not a single account list.\n\n\n\nYou'll be the primary executor of the Scale Experience program — high daily volume, a wide range of customer maturity levels, and constant context-switching. If you're energized by breadth and by building things that scale, this is your role.\n\n\n\n\nRESPONSIBILITIES\n\n - Account Health Monitoring — Own or help build the systematic mechanism for tracking health signals across the tier. Know which accounts are engaged, which are drifting, and why. Engage when signals change — don't wait for a renewal to address misalignments.\n\n - Renewals — Proactively manage the renewal motion for this tier, using health data to get ahead of risk well before renewal dates. Facilitate pre-renewal check-ins for accounts showing growth potential or as needed to address questions on terms, value, legal or contract details.\n\n - Office Hours — Staff scheduled 1:1 sessions for Scale customers alongside the support team, tag-teaming with support engineers based on the account and nature of the request. Sessions cover product questions, troubleshooting, and relationship or commercial topics. Log contact drivers to inform knowledge base priorities and product feedback.\n\n - Community \u0026 Engagement — Own Assembled's customer community presence across channels and formats. This may include digital community platforms, webinars, events, forums, the Assembled Slack community, or other programming. Moderate discussions, respond to questions, surface relevant resources, and identify accounts with high potential or in need of additional support.\n\n - Customer Feedback \u0026 Surveys — Own the survey cadence for the Scale tier: design, send, monitor response rates, synthesize results, and surface themes to leadership. Partner with cross-functional owners of survey tooling to coordinate timing and ensure results are actioned across the customer experience.\n\n - Tier Upgrade Flagging — When a Scale customer's needs or growth trajectory warrant a commercial conversation, you own identifying it and routing it appropriately. You're protecting the model, not just the relationship.\n\n - Support Integration — Work hand-in-hand with support engineering across all customer touch points. File tickets, triage issues, own communication on escalations, and respect established support workflows. You're not a support engineer, but you operate like someone who understands why process discipline makes the whole system work.\n\nYou'll know you're succeeding when Scale tier churn is low, renewal rates are healthy, and CSAT and NPS for this segment are at or above industry benchmarks.\n\n\n\n\nABOUT YOU\n\n - You know what it feels like to be on the other side of a scale tier experience. You've been in the weeds of customer-facing work and you bring that empathy into every interaction. You understand the world of support professionals and what good actually looks like to them.\n\n - You've been in a high-volume customer-facing role. You've managed more accounts than you could possibly give individual attention to, and you figured out how to make that work. You understand the difference between a customer who needs more of your time and a customer who needs better resources.\n\n - You hold the line without losing the relationship. When a customer asks for a dedicated CSM, a custom QBR, or a direct line to engineering, you know how to reset expectations in a way that leaves them feeling heard rather than rejected. You've had hard renewal conversations and didn't spiral.\n\n - You respect the power of process. You file the ticket and set expectations (internally \u0026 externally","salary_min":120000,"salary_max":150000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"junior","tags":["agents","llm","code-generation","payments"],"apply_url":"https://jobs.ashbyhq.com/assembledhq/66164c16-1b36-498d-a9d5-7e34ad543d2f/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T05:50:42.725Z","expires_at":"2026-06-29T14:12:01.005639Z","created_at":"2026-05-29T14:47:55.874652Z","updated_at":"2026-05-30T14:12:01.117957Z","company_name":"Assembled","company_slug":"assembled","company_logo_url":"https://www.google.com/s2/favicons?domain=assembled.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/960ff8ca-6a38-4ffc-893e-dd306a5479c9"},{"id":"ca0b8a2b-9726-4390-9048-f72ca8f7b9c5","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Enterprise Applications Engineer","slug":"enterprise-applications-engineer-749b1dac","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n The Enterprise Applications Engineering team designs and manages the integrated SaaS ecosystem essential to Anduril’s growth. We act as a force multiplier by automating complex workflows and ensuring interoperability across our software stack. By delivering robust, scalable platforms, we empower our workforce to stay focused on mission success without technical limitations.\n ABOUT THE JOB\n We are seeking a skilled Enterprise Applications Systems Engineer to join our team. You will play a pivotal role in the design, implementation, and management of our enterprise software solutions. You will be responsible for the full lifecycle management of our SaaS stack, automate user provisioning, manage workflows, and maintain robust cross-platform integrations. Your goal is to ensure our software systems are scalable, secure, and seamlessly connected through automated deployments and rigorous configuration management.\n WHAT YOU’LL DO \n \n Build and operate SaaS platforms (Box, Slack, Lucid, O365, Airtable, Pagerduty, and more) as part of the enterprise stack, establishing integration frameworks, monitoring, and automation to ensure system resilience and scalability.\n Develop creative custom applications, internal tools, and automations contributing to the extensibility of tools across the company.\n Support governance initiatives to maintain system integrity in accordance with least privileged access.\n Design, implement, and manage user lifecycle management processes and improvements.\n Assess and enhance SaaS tool integrations to improve workflow efficiencies across various business units within the organization.\n Develop and maintain technical documentation for the enterprise applications tech stack, including technical requirements, architectural diagrams, run-books, and recovery procedures.\n Partner with Security, Compliance, and business stakeholders to translate complex requirements into secure, scalable technical architectures.\n Be the point of contact for application ownership, delegating roles, permissions, and integration capabilities safely to empower and educate users.\n \n REQUIRED QUALIFICATIONS\n \n 3+ years of experience in IT Engineering with a focus on SaaS tools and IAM.\n Experience in the enterprise administration and automated configuration of SaaS platforms (e.g., O365, Slack, Box).\n Experience building end-to-end continuous integration solutions using SCIM, REST APIs, and Web hooks.\n Strong understanding of authentication protocols such as SAML and OAuth 2.0.\n Adept in leveraging a scripting language, including Python, PowerShell, or Go.\n Ability to navigate ambiguity, resolve user issues, and work autonomously to identify and solve problems.\n Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.\n Eligible to obtain and maintain a U.S. TS clearance.\n Willingness to work on-site at our Costa Mesa, CA, office.\n \n PREFERRED QUALIFICATIONS\n \n Experience managing IAM architecture in a zero trust and password-less environment.\n Experience implementing IAM solutions through an Identity Provider such as Okta, Microsoft Azure Active Directory, or Google Identity.\n Experience implementing onboarding \u0026 off-boarding automations for an enterprise at scale.\n Background of supporting complex compliance initiatives across applications.\n Strong understanding of identity governance framework.\n Familiar with DevOps principles.\n \n  \n US Salary Range\n $129,000 — $171,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explor","salary_min":129000,"salary_max":171000,"location":"Costa Mesa, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["computer-vision","cloud","payments","api-design"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5148199007?gh_jid=5148199007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T17:41:23Z","expires_at":"2026-06-29T14:06:41.959465Z","created_at":"2026-05-29T14:23:01.80351Z","updated_at":"2026-05-30T14:06:42.426221Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ca0b8a2b-9726-4390-9048-f72ca8f7b9c5"},{"id":"31d8f599-c440-4857-a6e7-1da4b19cf92b","company_id":"654d4532-88db-435d-8a6f-161b8c5a491e","title":"Senior Manager, Data Science - Styling Algorithms","slug":"senior-manager-data-science-styling-algorithms-de952706","description":"About Stitch Fix, Inc. \n Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.\n About the Role \n At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems.  \n We are looking for an experienced Styling Algorithms Team Manager to lead a group of talented machine learning engineers and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms, which empower our human stylists to delight clients by nailing their fit and style. This includes ML-, AI-, and product-driven feature curation and testing for our proprietary styling platform, as well as client-facing AI personalization experiences, such as Stitch Fix Vision, our virtual try-on.\n Responsibilities: \n \n Champion bold AI and ML interventions to improve our styling experiences, enabling our stylists to have a multiplicative impact on their client connection points.\n Likewise, actively shape the product roadmap for direct client-facing styling experiences, expanding the breadth and depth of personalization touchpoints to complement and inform our human stylists.\n Inspire your team by fostering a culture of ideation, ownership, feedback, and collaboration between team members and with cross-functional partners.\n Act as an advocate for our Styling and Merchandising teams, empowering partners to understand trends in stylist feedback and inventory surfacing algorithms for rapid action on emergent opportunities. \n Work with product managers, other data science teams, UI/UX designers, and business leaders to define and optimize against business objectives for our suite of styling experiences.\n Oversee the end-to-end algorithm development lifecycle, from ideation and experimentation to testing and deployment in a production environment.\n Identify and implement best practices for team collaboration, code quality, use of AI, and data management.\n Stay up-to-date with advancements in AI-assisted development, AI-enabled product experiences, machine learning, and fashion technology.\n \n About You \n This is what you’ll need to succeed in this role from day 1. \n Requirements: \n \n Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s or PhD preferred. \n 5+ years of experience in design and deployment of AI and ML solutions, ideally in retail personalization, with an emphasis on agentic capabilities.\n 2+ years of experience as a team technical lead or direct people manager.\n Ability to write and review production-grade code, ideally in Python.\n Applied knowledge of AI-assisted coding best practices and development of agentic product solutions.\n Excels at building trust with your team, stakeholders, and technical partners.\n Excellent communication skills with the ability to articulate complex technical concepts to business audiences.\n Experience with online A/B testing, experimentation frameworks, and performance metrics.\n Familiar with cloud-based infrastructure and distributed data systems.\n Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. \n Salary Range\n $200,000 — $246,000 USD \n This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts","salary_min":200000,"salary_max":246000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","generative-ai","agents","payments","data-science"],"apply_url":"https://www.stitchfix.com/careers/jobs?gh_jid=7954690\u0026gh_jid=7954690","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T15:16:09Z","expires_at":"2026-06-29T14:18:30.876264Z","created_at":"2026-05-29T15:09:51.374959Z","updated_at":"2026-05-30T14:18:30.987883Z","company_name":"Stitch Fix","company_slug":"stitch-fix","company_logo_url":"https://www.google.com/s2/favicons?domain=stitchfix.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/31d8f599-c440-4857-a6e7-1da4b19cf92b"},{"id":"d8372e30-6a66-49c1-b225-3271b0a4a19f","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Senior Staff Security Engineer, AI","slug":"senior-staff-security-engineer-ai-5fc21c61","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n \n THE WORK: \n As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable.\n You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices.\n WHAT YOU’LL DO: \n \n Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one.\n Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope.\n Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering.\n Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI.\n Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter.\n Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product.\n Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security. \n \n \n WHAT YOU'LL BRING:  \n \n \n 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice.\n Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities.\n Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows.\n Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts.\n Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development.\n Experience in FinTech, crypto, or other highly regulated environments is a strong plus, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption.\n Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security.\n A genuine builder's mentality. You are energized by problems without established playbooks, comfortable building in ambiguity, and motivated by raising the bar in an area that is still being defined.\n \n Other common names for this role: AI Security Architect, LLM Security Engineer, Agentic AI Security Lead \n For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based","salary_min":232000,"salary_max":290000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["llm","healthcare","payments","rag","code-generation","agents","security"],"apply_url":"https://ripple.com/careers/all-jobs/job/7961902?gh_jid=7961902","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T13:13:15Z","expires_at":"2026-06-29T14:12:02.752999Z","created_at":"2026-05-28T14:13:53.327797Z","updated_at":"2026-05-30T14:12:02.874002Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d8372e30-6a66-49c1-b225-3271b0a4a19f"},{"id":"23d134c7-f2bf-4c83-87f8-3938851bc707","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Machine Learning Engineer","slug":"senior-machine-learning-engineer-583097ba","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril's Air \u0026 Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. We're building the next generation of tracking intelligence capabilities—automated analysis systems that understand tracking performance, identify failure modes, and continuously improve our algorithms through data-driven insights.\n This role sits at the intersection of ML engineering and tracking domain expertise. You'll build end-to-end pipelines that ingest tracking algorithm telemetry, analyze correlation failures and performance anomalies, train models to automate root cause analysis, and deploy production tools that help engineers ask questions like \"why didn't track X and track Y associate?\" We don't just track targets; we track our tracking systems and make them smarter.\n WHAT YOU'LL DO\n \n Own tracking intelligence infrastructure end-to-end : Build the platform for ingesting tracking algorithm telemetry (hypotheses, scores, gains, association decisions), feature engineering performance metrics, training analysis models, and deploying them into production\n Automate tracking analysis : Develop ML models that identify correlation failures, track quality degradation, and root causes for tracking anomalies—replacing manual deep-dive investigations with scalable automated insights\n Build autotuning capabilities : Create systems that recognize incoming data characteristics and automatically adjust tracking algorithm parameters, frame rates, and model configurations for optimal performance\n Design human-in-the-loop tools : Build interfaces and query services that let engineers ask natural questions about tracking behavior and get data-driven answers backed by your models\n Exploit tracking telemetry : Instrument C++ tracking algorithms with appropriate logging (working with platform engineers), then marshal that data into consistent formats for analysis and model training\n Deploy in constrained environments : Package and deploy models for air-gapped systems with no external connectivity, following security scanning requirements where ML models are treated as data artifacts\n Manage the ML lifecycle : Handle data catalogs, ground truth labeling, model registries, versioning, and validation—ensuring models improve tracking performance in measurable ways\n Bridge domains : Translate between tracking algorithm fundamentals (Kalman filters, data association, multi-hypothesis tracking) and ML/data science techniques to build solutions that actually work\n Drive make/build decisions : Evaluate when to build custom models vs. leverage existing ML capabilities, selecting appropriate algorithm architectures for tracking intelligence problems\n Work hands-on-keyboard : This is a one-person show initially—you'll architect, code, deploy, and iterate rapidly using modern Python-based ML tooling\n \n REQUIRED QUALIFICATIONS\n \n 3+ years of experience with a strong mix of ML engineering and data science—you've built models AND deployed them into production systems\n Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)\n Experience with MLOps practices: data pipelines, feature engineering, model versioning, experiment tracking, and deployment workflows\n Familiarity with ML infrastructure tooling (MLflow, Dagster/Airflow, or similar orchestration tools)\n Understanding of tracking, estimation, or filtering algorithms (Kalman filters, data association techniques)—you need to understand what tracking algorithms output and why they make the decisions they do\n Ability to work with streaming time-series data and engineer features from algorithm telemetry\n Experience building data catalogs, managing ground truth labels, and validating model performance\n Strong software engineering fundamentals—you can build maintainable, production-quality code independently\n Comfortable working in C++ environments enough to add instrumentation/logging (no deep algorithm development required)\n Ability to obtain and maintain a U.S. Top Secret SCI security clearance\n \n PREFERRED QUALIFICATIONS\n \n Experience deploying ML models in edge, embedded, or air-gapped environments with security constraints\n Background in def","salary_min":165000,"salary_max":218000,"location":"Fort Collins, CO","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["tensorflow","mlops","computer-vision","data-pipeline","pytorch","payments","machine-learning"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5126634007?gh_jid=5126634007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T21:29:38Z","expires_at":"2026-06-29T14:06:48.665653Z","created_at":"2026-05-28T14:08:23.033047Z","updated_at":"2026-05-30T14:06:48.786007Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/23d134c7-f2bf-4c83-87f8-3938851bc707"},{"id":"dc3be083-3d88-4196-ae36-689fe5f1b3fe","company_id":"654d4532-88db-435d-8a6f-161b8c5a491e","title":"Senior Manager, Data Science - Foundational Models","slug":"senior-manager-data-science-ee646aa7","description":"About Stitch Fix, Inc. \n Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.\n  \n About the Role \n At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems.  \n We are looking for an experienced Foundational Models Team Manager to lead a group of talented machine learning engineers and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our core scoring and ranking algorithms. These industry-leading machine learning models match clients to available inventory, supporting our stylists in designing Fixes and powering online personalization directly to our clients.\n Responsibilities: \n \n Champion cutting-edge machine learning and AI techniques to improve holistic client engagement, personalization, and overall growth.\n Represent our core algorithmic capabilities in cross-functional forums, including with our executive leadership team, synthesizing business requirements and translating technical solutions with radical transparency and a solution-oriented mindset.\n Lead and inspire a team building transformative capabilities at the heart of our company’s value proposition, synthesizing and balancing multiple business objectives.\n Foster a culture of ownership for holistic business outcomes within the team, encouraging proactive engagement with cross-functional partners.\n Drive the development and optimization of our prediction and recommendation algorithms, ensuring they provide personalized, relevant, and engaging fashion recommendations for stylists and clients.\n Oversee the end-to-end algorithm development lifecycle—from ideation and experimentation to testing and deployment in a production environment.\n Manage the prioritization and execution of key algorithmic projects while balancing business needs, technical feasibility, and timelines.\n Implement industry best practices for team collaboration, code quality, use of AI, and data management.\n Stay up-to-date with the latest trends and advancements in AI-assisted development, AI-enabled product experiences, machine learning, and fashion technology.\n \n About You \n This is what you’ll need to succeed in this role from day 1. \n Requirements: \n \n Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s or PhD preferred. \n 5+ years of experience in design and deployment of machine learning algorithms, ideally in retail applications of deep learning and recommendation systems.\n 2+ years of experience in a direct people management role, with a track record of inspiring and motivating direct reports, and connecting team priorities to business objectives.\n Ability to write and review production-grade code, ideally in Python.\n Applied knowledge of AI-assisted coding best practices and development of agentic product solutions.\n Excels at building trust with your team, stakeholders, and technical partners.\n Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.\n Experience with online A/B testing, experimentation frameworks, and performance metrics.\n Familiar with cloud-based infrastructure and distributed data systems.\n Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. \n Salary Range\n $200,000 — $246,000 USD \n This link leads t","salary_min":200000,"salary_max":246000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["deep-learning","healthcare","agents","generative-ai","payments","data-science"],"apply_url":"https://www.stitchfix.com/careers/jobs?gh_jid=7947680\u0026gh_jid=7947680","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T19:21:44Z","expires_at":"2026-06-29T14:18:30.789303Z","created_at":"2026-05-28T14:20:06.359409Z","updated_at":"2026-05-30T14:18:30.909247Z","company_name":"Stitch Fix","company_slug":"stitch-fix","company_logo_url":"https://www.google.com/s2/favicons?domain=stitchfix.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dc3be083-3d88-4196-ae36-689fe5f1b3fe"},{"id":"4890fceb-0740-4c18-9993-bac00340d94c","company_id":"dcf03132-cd3a-4108-8e1d-20ab36008ea2","title":"Generative AI Engineer","slug":"generative-ai-engineer-eb00890a","description":"Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube .\n As a Generative AI Engineer on the ED\u0026A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end: you’ll work close to the business, turn real problems into working software, and see your solutions through from first conversation to production.\n This position can be based in our New York office or remotely within the Eastern Time Zone. \n How You'll Make an Impact\n Agentic AI Solution Development \u0026 Integration\n Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed.\n Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate.\n Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality.\n Implement Retrieval-Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities.\n Stakeholder Engagement \u0026 Delivery\n Work exclusively with the Marketing organisation, partnering across functions such as Demand Generation, Content Marketing, Product Marketing, Field Marketing, Marketing Operations, Brand, and Communications.\n Engage marketing stakeholders to gather business requirements, then go further: identify the underlying user or team pain points those requirements represent, and design solutions that address both the stated need and the deeper problem.\n Own projects end-to-end, from requirements intake and solution design through to build, deployment, and handover.\n Agent \u0026 Tool Development\n Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions.\n Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out-of-the-box patterns to deliver solutions tailored to specific business problems.\n Build, publish, and consume MCP (Model Context Protocol) servers to enable agent-to-tool integration across systems, including designing custom MCP servers where needed.\n Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built-in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production.\n AI Governance \u0026 Evaluation\n Design and maintain evaluation frameworks (evals) for LLM-based systems, measuring accuracy, latency, cost, and reliability in production.\n Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions.\n Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards.\n Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption.\n Web Application Development\n Create front-end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat-based interfaces, or standalone applications built with Vue.js and Node.js.\n Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive.\n Continuous Learning\n Provide product feedback to the development team to improve the platform.\n Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols.\n  \n What You'll Need to Be Successful\n Technical Proficiency\n Must have strong Python skills (including familiarity with typical data science and AI engineering libraries).\n Must have hands-on experience building agentic AI systems","salary_min":160000,"salary_max":240000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["rag","generative-ai","llm","payments","code-generation","embeddings","cloud","agents"],"apply_url":"https://job-boards.greenhouse.io/dataiku/jobs/6002762004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-25T21:07:05Z","expires_at":"2026-06-29T14:08:05.896911Z","created_at":"2026-05-27T14:08:19.988934Z","updated_at":"2026-05-30T14:08:06.020687Z","company_name":"Dataiku","company_slug":"dataiku","company_logo_url":"https://www.google.com/s2/favicons?domain=dataiku.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4890fceb-0740-4c18-9993-bac00340d94c"},{"id":"048de054-af71-4a8a-b308-4bc7df7817d5","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Analytics Engineer, Finance","slug":"senior-analytics-engineer-finance-4f215a8a","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nWe’re looking for a versatile Senior Analytics Engineer to partner closely with our Finance team in building the financial data foundation that drives decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn source data into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, finance, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide financial analytics and decision-making.\n\n - Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs.\n\n - Partner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics (ARR, NRR).\n\n - Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability.\n\n - Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystem.\n\n - Structure financial metric definitions, business logic, and accounting context in ways that can support AI-assisted reporting, natural language analytics, and automated anomaly detection.\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.\n\n - Deep expertise in SQL, dbt, Python, Snowflake.\n\n - Experience with modern BI tools like (Looker/Omni, or similar).\n\n - Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies across complex systems.\n\n - Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.\n\n - Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions.\n\n - Strong communicator who can build trusted partnerships across Finance, GTM, Product, and Exec stakeholders.\n\n - Comfortable working through ambiguity in fast-moving, cross-functional environments.\n\n - Balances big-picture thinking with precision in execution — knowing when to sweat the details and when to move quickly.\n\n - Experience modeling financial, billing, subscription, CRM, or usage-based revenue data.\n\n - Strong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition.\n\n\nBONUS\n\n - Early employee at a hyper-growth startup\n\n - Experience with or knowledge of AI and LLMs\n\n - Data Engineering Experience\n\n - Experience managing data warehouse (preferably Snowflake)\n\n - Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)\n\n\n\n\n\n\n\nCOMPENSATION\n\n\n\n$155,000 - $235,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-SB1\n\n\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexu","salary_min":155000,"salary_max":235000,"location":"New York, NY","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["payments","agents","data-pipeline","llm"],"apply_url":"https://jobs.ashbyhq.com/harvey/cf7b6b62-44c6-40ae-ac94-7f903370dcd5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-25T17:14:25.241Z","expires_at":"2026-06-29T14:02:11.755059Z","created_at":"2026-05-27T14:02:24.560142Z","updated_at":"2026-05-30T14:02:11.860866Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/048de054-af71-4a8a-b308-4bc7df7817d5"},{"id":"a79f35ce-4b01-465a-92e8-1fae69012d88","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Analytics Engineer, Product","slug":"senior-analytics-engineer-product-cfde3e16","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nWe’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making.\n\n - Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams.\n\n - Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics.\n\n - Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability.\n\n - Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces, ensuring events are implemented accurately, consistently, and with downstream analytics use cases in mind.\n\n - Own the product event tracking strategy, including event naming conventions, property schemas, identity resolution, sessionization, versioning, deprecation, and documentation standards.\n\n - Empower stakeholders with data by making analytical assets easily discoverable, reliable, and well-documented – turning complex datasets into actionable insights for the business.\n\n - You’ll define the structure, taxonomy, governance, and modeling patterns for product event data, ensuring that user behavior, product usage, and customer journeys are captured consistently from instrumentation through analytics-ready models.\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.\n\n - Deep expertise in SQL, dbt, Python, Snowflake.\n\n - Experience with modern BI tools like (Looker/Omni, or similar).\n\n - Skilled at defining core business and product metrics, uncovering insights, and resolving data inconsistencies across complex systems.\n\n - Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.\n\n - Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions.\n\n - Strong communicator who can build trusted partnerships across Product, GTM, Finance, and Exec stakeholders.\n   Comfortable working through ambiguity in fast-moving, cross-functional environments.\n\n - Balances big-picture thinking with precision in execution – knowing when to sweat the details and when to move quickly.\n\n - Experience modeling high-volume, semi-structured product event data, including JSON payloads, nested properties, user/account identifiers, sessions, funnels, cohorts, and behavioral metrics.\n\n - Experience with product analytics tools (Mixpanel, Segment, Amplitude)\n\n\nBONUS\n\n - Early employee at a hyper-growth startup\n\n - Experience with or knowledge of AI and LLMs\n\n - Data Engineering Experience\n\n - Experience managing data warehouse (preferably Snowflake)\n\n","salary_min":155000,"salary_max":235000,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","payments","data-pipeline"],"apply_url":"https://jobs.ashbyhq.com/harvey/754bb046-a622-40dd-8416-0af87f1f0301/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-25T17:13:19.1Z","expires_at":"2026-06-29T14:02:11.677863Z","created_at":"2026-05-27T14:02:24.472003Z","updated_at":"2026-05-30T14:02:11.787074Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a79f35ce-4b01-465a-92e8-1fae69012d88"},{"id":"c96f95a6-0aa8-42c2-9fd5-75a8b7173a25","company_id":"74257563-5513-4a8d-a0f7-01f00c59aed6","title":"Principal Machine Learning Engineer- LLM Fine-tuning and Optimization ","slug":"principal-machine-learning-engineer-llm-fine-tuning-and-optimization-bfee7362","description":"Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. \n Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n The Community You Will Join:  \n Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. \n The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. \n What you will do: \n As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent,  recommendation, travel planning, and many more products that make meaningful impacts in the world of travel. \n Your responsibilities:  \n \n Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases.\n Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits.\n Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency.\n Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases.\n Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy.\n \n Minimum Qualifications :\n \n PhD in Computer Science,  Machine Learning, Mathematics, Statistics, or related technical field.\n 10+ years of experience with developing machine learning models and products at scale from inception to business impact.\n Programming experience in Python and hands-on experience with frameworks such as PyTorch.\n Proven record of training, fine tuning, optimizing models and inference run-time\n Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.\n Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development\n \n Preferred Qualifications: \n \n PhD in AI, machine learning, data science, or related technical fields.\n \n Publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). \n \n Customer Support Systems : Experience with AI technologies in customer support applications.\n Agile Practice for AI production : Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain.\n \n \n Infrastructure Acumen : Experience deploying and scaling business-critical AI services and driving architectural requirements on ML infrastructures\n \n Your Location: \n This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.  Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. \n Our Commitment To Inclusion \u0026 Belonging: \n Airbnb is committed to working with the broadest talent","salary_min":292000,"salary_max":365000,"location":"United States","workplace":"onsite","job_type":"full-time","experience_level":"principal","tags":["reinforcement-learning","fine-tuning","pytorch","generative-ai","llm","payments","agents","machine-learning"],"apply_url":"https://careers.airbnb.com/positions/7955579?gh_jid=7955579","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-24T23:37:28Z","expires_at":"2026-06-29T14:09:02.019884Z","created_at":"2026-05-27T14:09:19.150599Z","updated_at":"2026-05-30T14:09:02.131762Z","company_name":"Airbnb","company_slug":"airbnb","company_logo_url":"https://www.google.com/s2/favicons?domain=airbnb.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c96f95a6-0aa8-42c2-9fd5-75a8b7173a25"},{"id":"731f6d0a-ba12-48e0-98c0-e09482be412c","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Computer Vision Engineer","slug":"computer-vision-engineer-c1d0ac4d","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n About the Role\n We are seeking a  Computer Vision Engineer to join our Perception team at Anduril Industries, where we develop cutting-edge perception systems for autonomous drones and unmanned sea vehicles in defense applications. While our team has strong capabilities in machine learning and real-time processing, we need a classical computer vision expert to elevate our camera integration, calibration workflows, and establish industry-standard best practices. This role will collaborate across multiple teams, supporting ML engineers, system architects, and integration specialists by ensuring our perception systems receive high-quality, well-calibrated sensor data from diverse camera modalities.\n Key Responsibilities\n Camera Systems \u0026 Integration\n \n Design and implement camera integration pipelines for diverse sensor modalities including RGB, stereo, fisheye, thermal, and event-based camera\n Develop middleware and vision pipeline components that interface with our perception stack\n Work with hardware and program teams to evaluate and integrate new camera systems\n \n Calibration \u0026 Geometric Vision\n \n Develop and maintain calibration procedures for intrinsic and extrinsic camera parameters\n Implement multi-camera calibration systems and camera-lidar extrinsic calibration workflows\n Design online and offline calibration methods for field deployment scenarios\n Apply geometric computer vision techniques including structure from motion and 3D reconstruction\n \n Classical Computer Vision\n \n Implement robust image processing pipelines (filtering, augmentation, rectification)\n Develop feature detection, matching, and tracking algorithms\n Design optical flow and visual odometry solutions\n Optimize vision algorithms for real-time performance on embedded platforms\n \n Standards \u0026 Best Practices\n \n Establish and document computer vision best practices\n Create reusable calibration tools and frameworks\n Ensure vision systems meet defense industry standards and requirements\n Conduct lab testing and validation of camera systems\n \n Required Qualifications\n \n Education : Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field\n Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 years of industry experience\n Strong proficiency in C++ or Python\n Hands-on experience with OpenCV and classical computer vision algorithms\n Deep understanding of camera models, calibration theory, and geometric vision\n Experience with multi-camera systems and sensor fusion\n Experience developing middleware and vision pipelines (ROS/ROS2 or similar)\n Familiarity with diverse camera technologies (RGB, stereo, fisheye, thermal, ToF, event-based)\n Lab experience with camera systems and optical equipment\n \n Preferred Qualifications\n \n Rust programming experience\n Master's degree in Computer Vision, Robotics, or related field\n Experience in defense, aerospace, or autonomous systems\n Background in robotics perception for drones or marine vehicles\n Experience with real-time embedded vision systems\n Familiarity with defense industry standards and security clearance processes\n Publications or contributions to computer vision research or open-source projects\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sop","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["robotics","cloud","computer-graphics","payments","computer-vision"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5145529007?gh_jid=5145529007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-22T18:28:05Z","expires_at":"2026-06-29T14:06:40.774659Z","created_at":"2026-05-27T14:07:00.648527Z","updated_at":"2026-05-30T14:06:40.886351Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/731f6d0a-ba12-48e0-98c0-e09482be412c"},{"id":"e0199f32-6837-4dff-a051-e26f020d0530","company_id":"f0c85993-fd53-4228-8ce3-b758284c4ecf","title":"Head of AI and Machine Learning Engineering","slug":"head-of-mlai-engineering-1a544c8b","description":"About Gusto \n At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.\n   All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .\n   AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.\n About the Role: \n Gusto sits at the center of many of the most important workflows for small businesses, which creates a meaningful opportunity to use rich product and customer data to build AI- and ML-powered systems that improve customer experiences, automate complex work, support better decision-making, and help small businesses thrive. As Gusto becomes more AI-native, we are evolving how AI, ML, risk modeling, and platform capabilities come together across our products and internal systems.\n We are seeking a strategic Head of AI/MLE to lead this next chapter. In this key leadership role, you will define how Gusto builds, deploys, evaluates, and scales AI/ML systems across the company. You will lead a broad organization spanning Machine Learning Engineering, ML Platform, Risk Data Science, and AI Scientists, while partnering closely with senior business leaders to shape where AI can create durable customer and business impact.\n As the Head of AI/MLE at Gusto, you will be responsible for unifying classical ML and GenAI into a coherent technical strategy, maturing the platform for broader self-service adoption, and shaping how AI-native products and production systems are built at Gusto. Your teams will help translate business problems into end-to-end AI/ML systems, from experimentation and prototyping through evaluation, deployment, monitoring, feedback loops, and operational governance.\n Your leadership will be critical in setting the technical direction, operating model, and quality bar for AI at Gusto. You will help teams move quickly where speed and learning matter most, while ensuring production systems meet high standards for reliability, measurement, safety, and long-term maintainability. This is a senior technical executive role for someone who can combine deep engineering credibility, strong business judgment, and executive-level influence to make AI a durable advantage for Gusto.\n Here’s what you’ll do day-to-day: \n \n Lead, manage, and develop a broad AI/MLE organization spanning Machine Learning Engineering, ML Platform, Risk Data Science, and AI Scientists, fostering a culture of technical excellence, customer impact, collaboration, and continuous learning.\n Define and execute Gusto’s AI/ML systems strategy, unifying classical ML, GenAI, risk modeling, and platform capabilities into a coherent approach that supports Gusto’s broader business and product goals.\n Partner with senior leaders across Product, Engineering, Design, Data, Risk, Legal, Security, and business teams to identify where AI/ML can create meaningful customer value, business impact, and operational leverage.\n Shape how AI-native products and internal systems are built at Gusto, helping teams translate business problems into end-to-end AI/ML systems with clear standards for evaluation, monitoring, observability, reliability, safety, governance, and long-term maintainability.\n Lead the development and maturation of AI/ML platform capabilities, tooling, primitives, guardrails, and deployment patterns that make it easier for product and engineering teams to build, evaluate, deploy, and operate AI/ML systems with less friction, more autonomy, and the right quality bar.\n Drive disciplined technical and business judgment around AI/ML investments, including where to build, where to leverage existing capabilities, and where to avoid unnecessary complexity.\n Create room for fast experimentation and learning where appropriate, while ensuring high-impact production systems meet strong standards for quality, operational rigor, and business accountability.\n Set clear goals, KPIs, and operating rhythms to measure the performance, adoption, and business impact of AI/ML systems, and communicate progress and tradeoffs clearly to senior leadership.\n Stay close to the frontier of AI/ML advancement and help Gusto apply new technologies pragmatically, with strong judgment about what is durable, useful, and ready for production.\n \n Here’s what we're looking for: \n \n We love meeting people with different technical and leaders","salary_min":320000,"salary_max":350000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["generative-ai","payments","llm","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/gusto/jobs/7948318","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T16:28:29Z","expires_at":"2026-06-29T14:09:33.295062Z","created_at":"2026-05-27T14:09:48.374664Z","updated_at":"2026-05-30T14:09:33.417757Z","company_name":"Gusto","company_slug":"gusto","company_logo_url":"https://www.google.com/s2/favicons?domain=gusto.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e0199f32-6837-4dff-a051-e26f020d0530"},{"id":"ca361999-a257-4f45-8f2b-cb4adf47d43f","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - Auto Tagger","slug":"senior-ml-engineer-auto-tagger-1b6f7b83","description":"About the Company   \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight. J oin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    \n Meet The Team:   \n The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.   \n What You'll Do:   \n \n Scenario Mining at Scale:  Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events. \n Advanced Event Tagging:  Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios. \n Standardized Data Structuring:  Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity. \n Data Flywheel Integration:  Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation. \n Cross-Functional Alignment:  Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an \"interesting scenario\" and operationalize a continuous data loop. \n Mentorship \u0026 Team Growth:  Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.   \n \n What You'll Need to Succeed:   \n \n BS or MS  in Computer Science, Robotics, Engineering, or a STEM field, with  6+ years  in data engineering, ML systems, or autonomous data curation. \n Core Languages:  Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets. \n ML \u0026 Dataset Curation:  Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance. \n Data Exploration:  Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable. \n Cloud \u0026 Compute:  Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads. \n AV Standards:  Experience parsing complex data formats and applying scenario-description standards like Pegasus layers. \n Communication:  Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders. \n Technical Leadership:  Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.   \n \n Bonus Points!   \n \n Auto-labeling \u0026 VLMs:  Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction. \n Model Serving:  Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference \n Semantic Inference:  Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection. \n Data Tooling:  Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow). \n Downstream Integration:  Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation. \n Advanced Retrieval:  Experience building semantic retrieval systems or vector databases for automotive data.   \n \n Perks of Being a Torc’r    \n Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and fu","salary_min":177300,"salary_max":212800,"location":"Ann Arbor, MI","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","llm","computer-vision","fine-tuning","payments","robotics","data-pipeline","embeddings"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8554970002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T20:52:45Z","expires_at":"2026-06-29T14:05:36.538187Z","created_at":"2026-05-27T14:05:54.67339Z","updated_at":"2026-05-30T14:05:36.653189Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ca361999-a257-4f45-8f2b-cb4adf47d43f"},{"id":"de8c4702-b4e3-447a-84b5-b971e4cc8e4d","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Lead Software Architect","slug":"lead-software-architect-fc53e5cc","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n At Anduril, our Battelspace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. \n  \n ABOUT THE JOB \n We are looking for a Lead Software Architect to join our rapidly growing C2 Systems team in  Broomfield, CO.   In this role, you will be responsible for defining the architectural direction of large-scale, real-time, mission-critical C2 software that powers Anduril's air and missile defense and battlespace awareness capabilities. You will lead the design of high-performance systems spanning tactical edge deployments to distributed backend infrastructure, make critical trade-offs between performance, modularity, and maintainability at scale, and mentor senior engineers across the C2 organization . This will require deep expertise in  modern C++ and Rust , experience architecting numerics-heavy real-time systems, fluency with asynchronous/multithreaded programming (e.g., Tokio), and a strong grasp of the complex intersection of software and math — including state estimation, target tracking, optimization, and dynamic programming (MCP / Bellman equations) . If you are someone who thrives on ambitious defense problems, enjoys troubleshooting real-world systems where issues could range from electromagnetics to faulty bit encodings to incorrect math assumptions, and wants to build software that is beyond a proof-of-concept — part of real tactical code deployed to the warfighter — then this role is for you\n WHAT YOU’LL DO\n \n Define and drive the architectural vision for large-scale C2 software systems that ingest, fuse, and act on data from diverse sensors in real time\n Lead the design and implementation of performant, real-time, numerics-heavy algorithms in Rust and/or C++ at production scale\n Partner closely with research scientists to transition advanced algorithms (target tracking, state estimation, sensor-effector pairing, asset scheduling) from prototype into tactical, deployed code\n Make high-leverage architectural trade-offs across performance, modularity, testability, and maintainability for mission-critical, edge-deployed systems\n Mentor and technically lead senior engineers, setting coding standards, review processes, and CI/CD best practices across the team\n Engage directly with customers (DoD agencies, Army, Air Force, MDA, SCO) to ensure successful outcomes for mission-critical needs\n Troubleshoot complex, real-world system issues spanning software, math assumptions, sensor behavior, and networking\n Contribute to all phases of the software development lifecycle including prototyping, modeling \u0026 simulation, field testing, and deployment\n Help shape hiring and technical growth of the broader C2 organization as it hyper scales\n \n REQUIRED QUALIFICATIONS\n \n 10+ years of software engineering experience with a Bachelor's degree (or equivalent) in Computer Science, Applied/Computational Mathematics, Electrical Engineering, Aerospace Engineering, Controls/Dynamical Systems, Statistics, or related field\n Expert-level proficiency in modern C++ and/or Rust, including asynchronous and multithreaded programming (e.g., Tokio for Rust)\n Proven experience architecting large-scale, production-grade codebases in real-time or high-performance environments\n Deep experience writing performant, real-time software with numerics-heavy algorithms\n Strong foundation in applied mathematics: probability theory, linear algebra, optimization, differential equations (ODEs), and statistics\n Experience with CI/CD, unit testing, git version control, and microservices\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS\n \n M.S. or Ph.D. in a technical field (dual academic background in software + math highly valued)\n Domain expertise in target tracking, state estimation, Kalman filters, sensor fusion, or signal processing \n Prio","salary_min":219000,"salary_max":290000,"location":"Broomfield, CO","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["microservices","gpu","payments","computer-vision","cloud","llm"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5124653007?gh_jid=5124653007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T16:37:55Z","expires_at":"2026-06-29T14:06:43.193134Z","created_at":"2026-05-27T14:07:02.654312Z","updated_at":"2026-05-30T14:06:43.308809Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/de8c4702-b4e3-447a-84b5-b971e4cc8e4d"}],"page":1,"per_page":20,"total":1152,"total_pages":58}