{"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":"0d7d0e83-e4e7-436c-8ea8-9998eef08a01","company_id":"75dcf7c0-5121-45f1-8d1b-6bfbfe15072f","title":"Helix AI Engineer, Android","slug":"helix-ai-engineer-android-4b9829bf","description":"Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.\n We're looking for a Senior Android Engineer with deep expertise in low-level Android systems, the NDK, and real-time sensor and video pipelines. This is not a standard Android app role — you'll be building the mobile application that interfaces directly with our custom sensor hardware over USB, ingests high-frequency camera and IMU data in real time, and runs on-device AI inference at the edge.\n If you've spent time below the Java/Kotlin layer — writing C/C++ via the NDK, implementing custom HALs, or building zero-copy sensor pipelines — this role was built for you.\n WHAT YOU'LL DO \n \n Build and own the Android application that serves as the primary mobile interface to Figure's humanoid robots, connected via USB Host / Android Open Accessory protocols.\n Architect high-throughput, zero-drop data ingestion pipelines for high-FPS image sensors and high-frequency IMU data, using zero-copy memory techniques and real-time concurrency models.\n Implement custom hardware abstraction layers (HAL) and leverage the Android NDK (C/C++) for high-performance, low-latency processing.\n Optimize CPU/GPU workloads for real-time edge filtering under strict thermal and battery constraints, using foreground services and WorkManager for bulletproof background operation.\n Integrate on-device AI inference libraries (TFLite, MediaPipe, ONNX Runtime, OpenCV) for real-time computer vision and sensor fusion.\n Implement low-latency video streaming protocols (e.g. WebRTC) \n \n WHAT WE'RE LOOKING FOR \n \n Deep expertise in Android NDK (C/C++) — custom HAL development, USB Host/AOA protocol communication, and direct hardware interfacing below the standard SDK layer.\n Proven experience architecting real-time, low-latency data pipelines for high-bandwidth sensors — zero-copy memory, real-time concurrency, and synchronization with zero frame drops.\n Mastery of Android system resource management: CPU/GPU workload optimization, thermal and battery constraints, foreground services, and WorkManager.\n Strong proficiency in both C/C++ (NDK) and Kotlin/Java for Android.\n Experience shipping production Android applications in hardware-connected, latency-critical environments.\n Proven track record shipping and maintaining production Android applications at scale — including crash rate management, OTA update rollout strategies, real-time telemetry and monitoring pipelines, and sustaining reliability across a large, diverse active user base spanning multiple device configurations and Android OS versions\n \n NICE TO HAVE \n \n Experience integrating on-device CV/ML inference: TensorFlow Lite, MediaPipe, ONNX Runtime, or OpenCV applied to raw sensor feeds.\n Familiarity with WebRTC or other low-latency streaming protocols for real-time video.\n Background in DSP techniques applied directly to raw sensor data.\n Prior work in robotics companion apps, industrial Android devices, AR/computer vision mobile apps, automotive HMI, or drone control applications.\n \n The US base salary range for this full-time position is between $150,000 - $400,000 annually.\n The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.","salary_min":150000,"salary_max":400000,"location":"San Jose, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","robotics","tensorflow","computer-vision","mobile"],"apply_url":"https://job-boards.greenhouse.io/figureai/jobs/4685209006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T22:27:59Z","expires_at":"2026-06-29T14:05:53.434799Z","created_at":"2026-05-29T14:18:08.419145Z","updated_at":"2026-05-30T14:05:53.546009Z","company_name":"Figure AI","company_slug":"figure-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=figure.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0d7d0e83-e4e7-436c-8ea8-9998eef08a01"},{"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":"88b5244c-2383-4f06-b5ef-0ade11296098","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Technical Lead Manager, Prediction \u0026 Planning, Machine Learning Eval","slug":"staff-technical-lead-manager-prediction-planning-ml-eval-29b43259","description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\n The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. \n We have an exciting opportunity for a Staff Technical Lead Manager to lead our ML Evaluation team. In this role, you will define the strategic vision for our evaluation platforms, scaling the critical infrastructure and metrics required, and partner closely with the modeling teams to rigorously validate our next-generation deep neural networks and accelerate ML developer velocity across PrePlan.\n You will: \n \n Influence the strategic direction of foundational infrastructure and evaluation platforms to robustly support next-generation ML model evaluation use cases\n Collaborate cross-functionally with ML engineers, data scientists, and infrastructure teams to identify, define, and surface critical signals on model, component, and system-level performance\n Leverage and scale evaluation and infrastructure platforms to significantly enhance the ML developer experience, enabling faster iteration through earlier, more reliable, and trusted model evaluation\n Manage and mentor a focused team of engineers, aligning their career growth and aspirations with critical organizational needs\n Drive best practices and leverage deep technical awareness of the Alphabet ML stack (e.g., TensorFlow, JAX, Flax, Apache Beam) to optimize evaluation workflows\n Stay at the forefront of emerging technologies, industry trends, and research in ML evaluation methodologies and advanced metrics design\n \n You have:  \n \n M.S. in Computer Science, Mathematics, or equivalent industry experience in Robotics or large-scale ML systems with critical evaluation needs\n 5+ years of experience building and maintaining large-scale distributed infrastructure, ML inference systems, or evaluation platforms, including 3+ years of engineering management experience\n Strong coding and testing proficiency, specifically in Python and C++\n Strong foundational knowledge of model evaluation and core data science principles (e.g., confidence intervals, outlier identification, curve fitting, and causality analysis)\n Familiarity with large-scale ML deployment and orchestration tools (e.g., TF Serving, TorchServe, Kubeflow, SageMaker Pipelines, or Vertex AI Pipelines)\n Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow\n \n We prefer: \n \n Experience developing and maintaining evaluation pipelines for ML models\n Experience deploying and supporting machine learning models for computer vision, natural language processing, robotics/motion planning, or recommendation systems\n Experience supporting a small team of MLEs developing high-capacity, production-grade models and components\n Strong understanding of metrics computation and regression detection at scale\n The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  \n Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  \n Salary Range\n $251,000 — $310,000 USD","salary_min":251000,"salary_max":310000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["robotics","nlp","computer-vision","pytorch","autonomous-vehicles","deep-learning","tensorflow","evaluation"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=7963516","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T17:26:50Z","expires_at":"2026-06-29T14:04:32.30248Z","created_at":"2026-05-29T14:12:24.077985Z","updated_at":"2026-05-30T14:04:32.417838Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/88b5244c-2383-4f06-b5ef-0ade11296098"},{"id":"0ed6f2c3-8d05-4541-a58a-3bc3eb48b078","company_id":"1a3abe34-d1c1-45b9-9259-3e2e007a961c","title":"Staff Research Scientist","slug":"staff-research-scientist-6193df9d","description":"About Voyage AI Team at MongoDB\n Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.\n Position Overview\n We are seeking a Staff Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks.\n This role can be based out of our Palo Alto office, or remotely in the United States.\n Responsibilities\n \n Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers\n Innovate in next-generation information retrieval and LLM agent paradigm\n Collaborate closely with other research scientists and research engineers as well as peers across the organization\n \n Qualifications\n \n PhD degree in Computer Science or related field\n A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues\n Strong background in machine learning, deep learning, and natural language processing\n Experience building complex neural networks for language and visual understanding\n Capable of conducting rigorous empirical studies to validate theoretical results\n Excellent leadership, problem-solving, and communication skills\n \n What We Offer\n \n Opportunity to work on real-world problems at the cutting edge of AI research\n Opportunity to utilize research vision to innovate the entire company and make real-world impact\n Exposure to the full lifecycle of AI model development, from research to production\n Our compensation (base + equity) for this position is competitive with frontier AI labs\n \n About MongoDB \n MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.\n With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.\n Our compass at MongoDB is our  Leadership Commitment,  guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.\n To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone.  From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.  Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!\n MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.\n MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\n Req ID: 2273454547\n MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to ","salary_min":151000,"salary_max":297000,"location":"Palo Alto, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["nlp","computer-vision","search","llm","embeddings","deep-learning","research"],"apply_url":"https://www.mongodb.com/careers/job/?gh_jid=7956670","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T17:21:23Z","expires_at":"2026-06-29T14:08:48.853182Z","created_at":"2026-05-29T14:32:41.960202Z","updated_at":"2026-05-30T14:08:48.964003Z","company_name":"MongoDB","company_slug":"mongodb","company_logo_url":"https://www.google.com/s2/favicons?domain=www.mongodb.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0ed6f2c3-8d05-4541-a58a-3bc3eb48b078"},{"id":"2f82717a-ca5c-44ec-afbc-871db9888784","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Director, Data Science","slug":"director-data-science-e0c2bfe0","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n May Mobility is entering an exciting phase of growth as we expand our autonomous transit and mobility services across the country. Founded in 2017 by a team of experienced roboticists, perception, behavior, AI, and software engineers, we operate driverless transit shuttles in real communities — not as a research demonstration, but as a daily-service product that people rely on to get to work, school, and home.\n The Director, Data Science will lead the team responsible for turning the data generated by our fleet, simulation environment, and ML systems into the insights, evaluations, and decisions that make our autonomous service safer, more efficient, and ready to scale into new cities. You will own data science across simulation and synthetic data, perception and planning ML evaluation, fleet operations analytics, and the data infrastructure that supports them. You will partner directly with Engineering, Product, Operations, and Safety leadership to set measurement standards, define release criteria, and translate frontline operating data into the next generation of our autonomy stack.\n This is a leadership role for someone who has scaled a data science function inside a hard-tech environment, who is comfortable making engineering and product tradeoffs alongside their team, and who sees the gap between research-grade ML and production transit-grade ML as the most interesting problem in the industry today.\n Essential Responsibilities \n \n Set and own the data science strategy across simulation and synthetic data, ML evaluation (perception, prediction, planning), fleet operations analytics, and the data platform that supports them; translate that strategy into a 12–24 month roadmap with measurable milestones.\n Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility to win against AV, robotics, and AI competitors.\n Partner with Engineering, Product, Safety, and Operations leaders to define release criteria, performance metrics, and ODD-expansion gates; use data to make the business case for what we deploy, where, and when.\n Drive ML and analytics applications end-to-end: dataset curation, scenario coverage, modeling, offboard evaluation, productionization, and continuous monitoring of fleet performance in the wild.\n Establish measurement and experimentation standards across the company — including before/after analyses for stack changes, A/B-style comparisons in simulation, and statistically credible reporting on real-world incidents.\n Lead team-wide quality activities including design and code reviews; hold the bar on engineering rigor for production data science systems.\n Track and trend technical performance of the autonomy stack in the field; surface root causes, prioritize fixes with engineering, and represent fleet-data findings to executives, regulators, and partners.\n Provide technical guidance to Engineering and Operations leaders on issue diagnosis, resolution, and the ML changes most likely to move our key safety and service metrics.\n Represent May Mobility's data science work externally where appropriate — through publications, conference talks, partner reviews, and recruiting.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Autonomy Data Expertise. Can reason fluently about the data produced by a modern AV stack — sensor logs, perception outputs, planning traces, simulator results, and operational telemetry — and can identify which signals matter for which decisions.\n Hands-On Technical Depth. Has personally shipped production ML or analytics systems within the last 3–5 years and is credible in code review and design review with senior engineers and scientists.\n Cross-Functional Translator. Can explain a complex ML or statistical finding to engineering, product, and executive audiences; and ","salary_min":217000,"salary_max":312000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["robotics","healthcare","distributed-systems","pytorch","computer-vision","tensorflow","reinforcement-learning","autonomous-vehicles"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8561428002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T21:54:47Z","expires_at":"2026-06-29T14:17:06.3175Z","created_at":"2026-05-28T14:18:43.046233Z","updated_at":"2026-05-30T14:17:06.431533Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2f82717a-ca5c-44ec-afbc-871db9888784"},{"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":"41b3afd9-e8d0-4d82-9e8e-9149ad7c9147","company_id":"0bedcaf4-210e-4f52-95d5-a82be8aff446","title":"Sr Machine Learning Engineer, AI Research","slug":"sr-machine-learning-engineer-ai-research-866a2680","description":"Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.\n We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.\n Why You'll Love This Role \n You will work closely with the founding team and a group of highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms. You will play a central role in bringing integrating cutting-edge AI/ML technologies to the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.\n On top of it all you will have fun. \n Cribl strives to be a great place to work for everyone.\n As An Active Member Of Our Team, You Will... \n \n Design, train, and evaluate machine learning models across a range of research and applied AI initiatives\n Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements\n Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems\n Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation\n Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation\n Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team\n Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them\n This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones\n \n If You've Got It - We Want It \n \n Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 4+ years of industry or research experience (Master's or PhD a plus)\n Deep hands-on experience training and evaluating ML models, including language models\n Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow\n Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights \u0026 Biases, Kubeflow, or similar)\n Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques\n Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize\n Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders\n \n #LI-Tag #LI-Remote\n The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience. In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.\n Base Salary Range\n $185,000 — $215,000 USD \n Bring Your Whole Self Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. \n Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us .","salary_min":185000,"salary_max":215000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["nlp","tensorflow","computer-vision","mlops","pytorch","reinforcement-learning","fine-tuning","research"],"apply_url":"https://cribl.io/job-detail/?gh_jid=5979543004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T18:02:31Z","expires_at":"2026-06-29T14:18:07.512926Z","created_at":"2026-05-28T14:19:42.491471Z","updated_at":"2026-05-30T14:18:07.623902Z","company_name":"Cribl","company_slug":"cribl","company_logo_url":"https://www.google.com/s2/favicons?domain=cribl.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/41b3afd9-e8d0-4d82-9e8e-9149ad7c9147"},{"id":"a148f68f-899f-448a-a1c1-dcb27af55e25","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Safety System Engineer","slug":"safety-system-engineer-c6b6d960","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n Your Responsibilities\n In collaboration with the other safety expert(s):\n \n Lead the functional safety activities for Wayve’s ADS, and its integration into present and future vehicle platforms, or the integration of third party safety-critical systems. This involves:\n \n Working with various internal and external teams to gain a deep understanding of the system under development to build the Item Definition work product for each platform.\n Conduct risk assessments (HARAs, FMEAs, FTAs) to identify the risks and build a safety concept to mitigate the risks to an acceptable level.\n Work with internal design teams to build a system architecture that meets the safety concept including decisions on decompositions, deriving relevant SW and external requirements.\n Support internal SW teams in implementing the safety requirements on target HW.\n Define test specifications at various levels of integration to verify and finally validate the safety concept.\n Define the Safety case by building a structured claims, arguments and evidence based paradigm.\n \n Contribute to developing the safety work products for production projects with similar activities as defined above.\n Work with the process and compliance teams to update the safety processes for certification activities.\n \n Your Skills\n Mandatory: \n \n Very good understanding of the functional safety development process as per ISO 26262 with a minimum 5 years of experience in applying the standard on different automotive systems; in particular parts 3, 4, 5, 6, 8 and 9.\n Experience in conducting vehicle level testing activities at proving grounds to verify and validate the safety concept.\n \n Desirable \n \n Expertise in ISO 26262-6; the candidate must have practical experience in developing or leading the development of ISO 26262 compliant production software and in the qualification of software tools.\n Experience in managing suppliers of safety related hardware or software elements (DIA design, supplier audit and assessment, project management)).\n Knowledge and experience in developing the safety case of an AD systems, in particular:\n \n Experience in developing the safety concept for a computer vision based system\n Sufficient knowledge of neural networks (architectures, algorithms, training and testing pipeline) to understand the challenges associated with the safety assurance of such systems and discuss options and rationales with our scientists\n \n Experience in SOTIF, especially in identifying SOTIF triggering conditions through analysis and defining testing and validation strategies to assess SOTIF performance.\n Operational safety experience, such as identifying the operational risks and designing training and operational procedures to ensure the safety of testing on public roads, is a plus.\n \n About yourself\n \n You are truly passionate about Safety and making the world a safer place your mission; this is reflected in the way you choose terms appropriate to your audience, present the essence of system safety and formulate the key takeaway messages.\n You are pragmatic, you understand the need to balance risk versus benefits, even more so in a startup environment.\n You are comfortable in debating with other stakeholders safety-related trade-offs, at any level of the development process and at any level of the organisation.\n You are self-starter, autonomous in thoughts but collective in action.\n You are able to think and work at various abstraction levels; thinking “blue sky” and paving the way for long term safety goals, or diving deep into technical details to provide clear guidance and solutions on the safety activities for the development of a subsystem (e.g. controller) or launching an application (robotaxi)\n You are confident in challenging others’ ideas and views, but equally, are open to constructive criticism and able to reconsider your opinions or beliefs.\n \n This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated sala","salary_min":209700,"salary_max":298200,"location":"Sunnyvale, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["computer-vision","deep-learning","autonomous-vehicles","generative-ai"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8564863002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T18:37:28Z","expires_at":"2026-06-29T14:12:46.822059Z","created_at":"2026-05-27T14:13:10.98323Z","updated_at":"2026-05-30T14:12:46.935289Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a148f68f-899f-448a-a1c1-dcb27af55e25"},{"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":"30691bcd-dc37-4149-9f33-16fd4c446705","company_id":"74257563-5513-4a8d-a0f7-01f00c59aed6","title":"Senior Data Scientist, Guest Travel Insurance (Algorithms)","slug":"senior-data-scientist-guest-travel-insurance-algorithms-d5dcd08e","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 The Community You Will Join: \n Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. Travel should feel safe—and AirCover is how we deliver on that promise. Through Guest Travel Insurance (GTI), we offer guests peace of mind at the moment of booking and throughout their trip. As a Data Scientist on AirCover, you’ll work at the intersection of insurance, personalization, and machine learning—building intelligent systems that help the right guest discover the right coverage at the right moment. You’ll join a tight-knit, high-output DS team that runs one of Airbnb’s most experiment-dense personalization roadmaps, partnering daily with product, engineering, operations, and legal to ship work that directly affects guest trust and revenue.\n The Difference You Will Make: \n We’re looking for a machine learning expert who is excited to own hard problems end-to-end—from prototype to production. You’ll have direct scope to contribute and lead across:\n \n Package personalization \u0026 ML-based recommendation: Evolve rule-based guest segmentation into a full ML recommendation system that surfaces the right insurance (e.g., trip cancellation, accidental damage coverage, on-trip protection) to each guest based on purchase intent, trip attributes, listing signals, and user history.\n Content personalization: Build models that rank and select benefit messaging for each guest—deciding which coverages to highlight, in what order, and with what framing—drawing on learnings from segmentation experiments and LLM-assisted content prototyping.\n Intent modeling: Develop and productionize ML models (from gradient-boosted trees to deep learning) that predict a guest’s likelihood to value specific coverages, using structured booking data and unstructured signals.\n Journey understanding and optimization: Leverage reinforcement learning to personalize across user journey, with understanding on user preferences on entry point, price, notification frequency, and trip characteristics\n High-velocity experimentation: Design and run adaptive experiments to maximize learning within tight traffic constraints; sequence ERFs strategically to keep the personalization roadmap moving.\n \n A Typical Day: \n \n Dig into experiment results to surface high-impact personalization opportunities; translate what you find into crisp scientific problem formulations that balance rigor with speed-to-learning.\n Work closely with product managers, engineers, operations, legal, and privacy partners to align on ML requirements, de-risk design decisions, and gather requirements on explainability and compliance.\n Hands-on develop, evaluate, and ship ML models and data pipelines at scale—batch and real-time, structured and unstructured—using Airbnb’s paved-path tooling and AI native mindset\n Prototype and iterate quickly: turn a new idea into a working model in a prototype, get early signals from an experiment, then productionize what works. You move fast and don’t wait to be asked.\n Present findings and proposals at team reviews and to technical, product, and executive stakeholders—making complex ML results legible without dumbing them down, and generating conviction on the roadmap ahead.\n Stay current with the research community; draw on state-of-the-art advances in recommendation systems, LLMs, and personalization to raise the bar for what the team ships. Occasionally publish externally or present at conferences to advance Airbnb’s scientific standing.\n \n Your Expertise: \n \n 5+ years of relevant industry experience (e.g., ML scientist, tech lead, junior faculty) and a Master’s degree or PhD with 2+ yrs in a relevant field.\n Proven hands-on experience building and shipping personalization and recommendation systems at scale: strong intuition for feature engineering, user modeling, and the full ML lifecycle (training, serving, monitoring, iteration). Experience with LLMs, Computer Vision or content-understanding topics is a strong plus.\n Strong fluency in Python and SQL; hands-on experience with TensorFlow or PyTorch, Airflow, and a data warehouse environment.\n Deep understanding of ML algorithms (gradient-boosted trees, deep learning, optimization) and experiment design—including A/B testing, multi-armed bandits, and the practical constraints of running experiments at scale. Causal inference skills are a plus.\n Exceptional communicator: you can make complex ML work legible to engineers, product managers, legal, and executives alike— written and verbal. You treat communication as a core part of the job, not an afterthought.\n Self","salary_min":179000,"salary_max":210000,"location":"United States","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["tensorflow","llm","deep-learning","pytorch","data-pipeline","computer-vision","reinforcement-learning","data-science"],"apply_url":"https://careers.airbnb.com/positions/7926614?gh_jid=7926614","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T15:55:19Z","expires_at":"2026-06-29T14:09:02.248406Z","created_at":"2026-05-27T14:09:19.322462Z","updated_at":"2026-05-30T14:09:02.357735Z","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/30691bcd-dc37-4149-9f33-16fd4c446705"},{"id":"42f8830a-ebfa-421c-a5b0-188eb93d4cd8","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Applied Research Scientist, Multi-Modal Perception (PhD New Grad)","slug":"applied-research-scientist-multi-modal-perception-phd-new-grad-74815077","description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\n The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.\n In this hybrid role you will report to a Technical Lead Manager.\n You will: \n \n Own tasks in the ML Driver, take responsibility for task scaling and task performance, create ML methods and recipes to scale and improve tasks.\n Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.\n Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.\n Develop and maintain metrics for ADV relevant issues, including safety-critical and longtail issues.\n \n You have: \n \n Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience\n 3+ years experience in Machine Learning and Computer Vision\n Experience with Python\n Experience with ML frameworks like PyTorch or JAX\n \n We prefer: \n \n MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline\n Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI\n Experience with C++\n The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  \n Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  \n Salary Range\n $175,000 — $215,000 USD","salary_min":175000,"salary_max":215000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["computer-vision","autonomous-vehicles","pytorch","deep-learning","robotics","research"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=7948348","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T23:48:38Z","expires_at":"2026-06-29T14:04:23.835364Z","created_at":"2026-05-27T14:04:33.548406Z","updated_at":"2026-05-30T14:04:23.954594Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/42f8830a-ebfa-421c-a5b0-188eb93d4cd8"},{"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"},{"id":"5c8a2860-3289-45c5-8dc3-04e7a6013787","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Operations Product Manager, Group 5 Mission Autonomy","slug":"mission-operations-product-manager-group-5-mission-autonomy-3138da3a","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  \n WHAT YOU’LL DO   \n \n Develop Mission Autonomy products that support the operation of Group 5 autonomous air vehicles.   \n \n \n Drive product development for the entire lifecycle from initial requirements development to fielding.   \n \n \n Define product roadmaps and timelines, guide cross-functional product decisions, and manage engineering risk.   \n \n \n Working closely with engineering leads and business development, evaluate trades to enable exploration of early designs.   \n \n \n Develop autonomy behavior and supporting product requirements. Collaborate with engineering teams to implement requirements.    \n \n \n Work collaboratively with cross-functional teams, including software engineers, hardware engineers, test engineers, and program managers, to define test requirements and ensure alignment between system capabilities and mission objectives in complex operational scenarios.   \n \n \n Plan, execute, and analyze mission autonomy tests in simulated environments that replicate real-world scenarios to validate system performance and identify areas for improvement, iterating rapidly to refine autonomy behaviors and supporting products.   \n \n \n Support business development teams by being the product voice at the table with customers through customer briefings/demonstrations/exercises.   \n \n \n Support business development in creating and maintain updated presentation templates of product capabilities that can be used as an 80% solution for customer briefs.   \n \n   \n REQUIRED QUALIFICATIONS   \n \n Operational experience as a Pilot or CSO/NFO of USAF, USN, USMC 4th or 5 th  generation fighter/bomber aircraft or RPAs.    \n \n \n Self-starter with high ownership, mission-oriented mentality. Desire to see the product meet the need of the end customer.   \n \n \n Strong analytical skills, with the ability to interpret test data, diagnose system behaviors, and recommend actionable improvements.   \n \n \n Organized and detail-oriented, with strong verbal \u0026 written communication skills.   \n \n \n Proven track record of working collaboratively with multidisciplinary teams to achieve project milestones and deliverables.    \n \n \n Experience in leading system design and development from initial concept through delivery to customers.   \n \n \n Ability to leverage operational experience and technical knowledge to make educated decisions and leverage engineering trades in the absence of clear customer requirements.   \n \n \n Willingness to work flexible hours. Up to 25% travel as required for customer engagements and product development activities.   \n \n \n Active U.S. Top Secret security clearance and experience with Special Access Programs   \n \n PREFERRED QUALIFICATIONS   \n \n 5th generation aircraft pilot experience preferred.    \n \n \n Weapons school instructor, weapons school graduate, test pilot school graduate, Developmental or Operational Test experience.   \n \n \n Bachelor’s degree in STEM, or equivalent experience in a relevant field   \n \n \n Direct experience in the development, testing, and deployment of mission autonomy systems in a defense or aerospace context.   \n \n \n Familiarity with agile software development practices    \n \n \n Knowledge of current industry and military standards related to unmanned aerial systems and their operation within national airspace.   \n \n \n Familiarity with the principles of mission autonomy, unmanned systems, and the integration of multiple assets into cohesive operational frameworks.   \n \n  \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 employe","salary_min":166000,"salary_max":220000,"location":"Washington, DC","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","computer-vision","payments","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5141963007?gh_jid=5141963007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T17:49:48Z","expires_at":"2026-06-29T14:06:43.907937Z","created_at":"2026-05-27T14:07:03.462512Z","updated_at":"2026-05-30T14:06:44.02638Z","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/5c8a2860-3289-45c5-8dc3-04e7a6013787"},{"id":"090d1ae3-0457-401e-a934-7c265c81762f","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Operations Product Manager, Group 5 Mission Autonomy","slug":"mission-operations-product-manager-group-5-mission-autonomy-fc7faf58","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. 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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 WHAT YOU’LL DO   \n \n Develop Mission Autonomy products that support the operation of Group 5 autonomous air vehicles.   \n \n \n Drive product development for the entire lifecycle from initial requirements development to fielding.   \n \n \n Define product roadmaps and timelines, guide cross-functional product decisions, and manage engineering risk.   \n \n \n Working closely with engineering leads and business development, evaluate trades to enable exploration of early designs.   \n \n \n Develop autonomy behavior and supporting product requirements. Collaborate with engineering teams to implement requirements.    \n \n \n Work collaboratively with cross-functional teams, including software engineers, hardware engineers, test engineers, and program managers, to define test requirements and ensure alignment between system capabilities and mission objectives in complex operational scenarios.   \n \n \n Plan, execute, and analyze mission autonomy tests in simulated environments that replicate real-world scenarios to validate system performance and identify areas for improvement, iterating rapidly to refine autonomy behaviors and supporting products.   \n \n \n Support business development teams by being the product voice at the table with customers through customer briefings/demonstrations/exercises.   \n \n \n Support business development in creating and maintain updated presentation templates of product capabilities that can be used as an 80% solution for customer briefs.   \n \n   \n REQUIRED QUALIFICATIONS   \n \n Operational experience as a Pilot or CSO/NFO of USAF, USN, USMC 4th or 5 th  generation fighter/bomber aircraft or RPAs.    \n \n \n Self-starter with high ownership, mission-oriented mentality. Desire to see the product meet the need of the end customer.   \n \n \n Strong analytical skills, with the ability to interpret test data, diagnose system behaviors, and recommend actionable improvements.   \n \n \n Organized and detail-oriented, with strong verbal \u0026 written communication skills.   \n \n \n Proven track record of working collaboratively with multidisciplinary teams to achieve project milestones and deliverables.    \n \n \n Experience in leading system design and development from initial concept through delivery to customers.   \n \n \n Ability to leverage operational experience and technical knowledge to make educated decisions and leverage engineering trades in the absence of clear customer requirements.   \n \n \n Willingness to work flexible hours. Up to 25% travel as required for customer engagements and product development activities.   \n \n \n Active U.S. Top Secret security clearance and experience with Special Access Programs   \n \n PREFERRED QUALIFICATIONS   \n \n 5th generation aircraft pilot experience preferred.    \n \n \n Weapons school instructor, weapons school graduate, test pilot school graduate, Developmental or Operational Test experience.   \n \n \n Bachelor’s degree in STEM, or equivalent experience in a relevant field   \n \n \n Direct experience in the development, testing, and deployment of mission autonomy systems in a defense or aerospace context.   \n \n \n Familiarity with agile software development practices    \n \n \n Knowledge of current industry and military standards related to unmanned aerial systems and their operation within national airspace.   \n \n \n Familiarity with the principles of mission autonomy, unmanned systems, and the integration of multiple assets into cohesive operational frameworks.   \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) ensure","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["computer-vision","fine-tuning","cloud","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5137720007?gh_jid=5137720007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T17:27:38Z","expires_at":"2026-06-29T14:06:43.992896Z","created_at":"2026-05-27T14:07:03.388447Z","updated_at":"2026-05-30T14:06:44.105265Z","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/090d1ae3-0457-401e-a934-7c265c81762f"}],"page":1,"per_page":20,"total":576,"total_pages":29}