{"has_next":true,"jobs":[{"id":"577d4902-fac2-40fd-9d40-2f5c20df045a","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Developer Platform","slug":"senior-software-engineer-developer-platform-f5dcd14a","description":"About Decagon\n\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\n\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\n\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\n\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.\n\n\n\n\nABOUT THE TEAM\n\nThe Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior Software Engineer to help build and evolve our internal developer platform—everything from CI/CD and release automation to observability standards, platform tooling, and developer workflows that remove friction.\n\nThis role is for someone who loves making other engineers faster: reducing build times, eliminating flaky tests, creating paved roads for service creation/deployment, and raising the bar on operability by default. Roles like this often combine “builder” energy with strong empathy for how engineers actually work.\n\n\n\n\nWHAT YOU'LL DO\n\n - Developer productivity \u0026 platform tooling\n   \n   - Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.\n   \n   - Create and maintain “golden paths” like service templates, CLIs, libraries, and automation that teams rely on.\n\n - CI/CD \u0026 release engineering\n   \n   - Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.\n   \n   - Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.\n   \n   - Support progressive delivery patterns (canary / blue-green) and safe rollback mechanisms.\n\n - Observability \u0026 operational excellence\n   \n   - Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.\n   \n   - Partner with product engineers to improve operability: SLOs, alerting hygiene, dashboards, incident learnings.\n\n - Infrastructure foundations\n   \n   - Build and improve core platform capabilities that make it easy to run and scale services.\n\n - Ownership \u0026 reliability\n   \n   - Own the systems you build end-to-end and help keep them healthy in production, improving reliability over time.\n\n\n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 4+ years building production software, with meaningful experience in platform / devtools / infrastructure (or adjacent SRE/release engineering).\n\n - Strong coding ability in at least one systems/productivity language (e.g., Python, TypeScript/JS), and comfort building developer-facing tooling (CLIs, libraries, automation).\n\n - Hands-on experience with CI/CD systems and designing pipelines that are scalable and reusable across many repos/services.\n\n - Practical experience with observability in production systems (instrumentation, alerting, dashboards, incident response).\n\n - Comfort with containers and modern cloud infrastructure (e.g., Docker/Kubernetes and related tooling).\n\n - A track record of improving developer experience through measurable outcomes (faster builds, fewer flakes, safer deploys, fewer incidents).\n\n - Strong cross-team collaboration and communication—especially writing clear docs and driving adoption.\n\n\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience with monorepos and build systems and/or large-scale CI performance work.\n\n - Experience building internal platforms: service templates, paved-road deployment, self-serve environments, developer portals.\n\n - Infrastructure-as-code experience (e.g., Terraform) and a security-minded approach to supply chain (provenance, secrets, least privilege).\n\n - Experience applying AI-assisted tooling to make engineers dramatically more effective.\n\n\n\n\nCOMPENSATION\n\n$200K – $400K + Offers Equity\n\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.\n\nIn addition to base salary, we offer competitive equity. Final compensation may vary based ","salary_min":200000,"salary_max":400000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["cloud","agents","infrastructure","platform"],"apply_url":"https://jobs.ashbyhq.com/decagon/c15c3dc8-6df7-43ca-aeeb-dc2beed2668e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T23:19:24.295Z","expires_at":"2026-06-29T14:07:12.463759Z","created_at":"2026-05-30T14:07:12.575972Z","updated_at":"2026-05-30T14:07:12.575972Z","company_name":"Decagon","company_slug":"decagon","company_logo_url":"https://www.google.com/s2/favicons?domain=decagon.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/577d4902-fac2-40fd-9d40-2f5c20df045a"},{"id":"a3d16455-f42f-4915-8723-2d023a5b665b","company_id":"2ca4efa5-edc2-4352-a597-ea27086e1e5b","title":"Senior Software Engineer II, AI Labs \u0026 Foundations","slug":"senior-software-engineer-ii-ai-labs-foundations-e74eb4cd","description":"We're transforming the grocery industry \n At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. \n Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.\n Instacart is a Flex First team \n There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. \n Overview\n Join Instacart's mission to transform grocery shopping through frontier AI. As a Senior Software Engineer on AI Labs \u0026 Foundations, you will design, build, and operate the high-scale production systems that power our most ambitious AI experiences—from Cart Assistant, our conversational shopping agent, to voice AI interactions and beyond. This is a high-impact opportunity to work at the intersection of robust software engineering and cutting-edge production AI/ML, directly shaping products used by millions of customers every day.\n We are hiring a Senior Software Engineer who will participate in the design and delivery of production AI systems, identify high-leverage technical opportunities, and contribute hands-on to AI-native products across Instacart's platform. We value bottom-up ideas, high engineering quality, and close partnership with Product, Data Science, ML, and Infrastructure teams. If you enjoy inventing, navigating ambiguity, prototyping fast, and turning wild ideas into real, scalable products, this is the team for you.\n AI Labs \u0026 Foundations sits at the intersection of frontier AI research and production engineering. Our portfolio spans the full stack of AI innovation at Instacart, including building and launching Cart Assistant, pioneering voice AI interactions, and constructing the foundational systems that power these cutting-edge experiences. We are a fast-moving, collaborative team that thrives on 0-to-1 thinking, shares learnings openly, and ships with urgency by prototyping fast and testing rigorously.\n About the Job\n \n Design, build, and operate production AI-powered systems and agentic experiences (including Cart Assistant and voice AI) that directly impact how millions of customers shop.\n Build foundational systems for cutting-edge AI experiences, ranging from embedding infrastructure and voice AI pipelines, to client facing components and integrations, by prototyping bold ideas and productizing what works.\n Integrate foundation models via APIs and open-source frameworks; apply techniques like retrieval-augmented generation and vector search where appropriate.\n Own projects end-to-end: requirements, technical design, implementation, testing, deployment, observability, and iterative improvement focused on reliability, latency, and cost efficiency.\n Collaborate with cross-functional partners in product, design, data science, and infrastructure to ship AI features end-to-end.\n Drive engineering excellence, including thoughtful system design, rigorous code review, and technical leadership that includes defining and promoting best practices for AI/ML production engineering across the team.\n \n About You\n Minimum Qualifications: \n \n Proven senior software engineer who has built, shipped, and operated production systems at scale. You make architectural calls, own what you build, and deliver through ambiguity.\n Hands-on experience with AI or ML in production. You've shipped LLM-powered features or integrated foundation model APIs into a live product, demonstrating the necessary expertise at the intersection of robust software engineering and deep production ML.\n Experience owning services end-to-end, including CI/CD, automated testing, observability (logging, metrics, tracing), and on-call participation.\n Strong communicator who partners well across disciplines - you want to get to the right answer, not just defend the first one.\n Excitement and ability to leverage cutting-edge development tools, including AI assistance (e.g., Copilot, Cursor, Claude), to maximize velocity.\n \n Preferred Qualifications: \n \n 5 to 8+ years of industry experience.\n A track record of 0-to-1 work taking unconventional ideas from prototype through rapid iteration to production.\n Experience building conversational agents, multi-turn dialogue systems, or agentic LLM applications.\n Exp","salary_min":192000,"salary_max":202000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["cloud","fine-tuning","code-generation","generative-ai","llm","distributed-systems","agents","speech"],"apply_url":"https://instacart.careers/job/?gh_jid=7951041","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T22:43:14Z","expires_at":"2026-06-29T14:08:42.057285Z","created_at":"2026-05-30T14:08:42.180879Z","updated_at":"2026-05-30T14:08:42.180879Z","company_name":"Instacart","company_slug":"instacart","company_logo_url":"https://www.google.com/s2/favicons?domain=www.instacart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a3d16455-f42f-4915-8723-2d023a5b665b"},{"id":"8b3dbb78-3093-481e-9b0c-09e3ed1deb6e","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Principal Software Engineer, Data","slug":"principal-software-engineer-data-0cdb1bea","description":"Your Impact at LILA \n Join us in shaping the future of science! We are seeking Principal Software Engineers with backend experience to join our Data Platform Team (Data), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!\n About The Team \n The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.\n What You'll Be Building \n \n Design \u0026 Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.\n Database Architecture \u0026 Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\n Performance \u0026 Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\n Cloud \u0026 Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\n Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\n \n What You'll Need To Succeed \n \n Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.\n 8-15 years of engineering experience building and deploying large-scale systems in production. You must be strong in scalable backend system design.\n Full Stack Development : Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\n Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).\n Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).\n Familiarity with Python for Science : Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).\n Hands on experience using AI coding assistants to drive productivity is required.\n Communication \u0026 Collaboration : Acute listening and writing skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\n Problem Solving : Proven ability to design complex backend solutions, balancing trade-offs between scalability, performance, and maintainability.\n \n Bonus Points For \n \n Cloud \u0026 DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\n Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.\n Experience with laboratory devices, robotics, or hardware\n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\n U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\n International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\n Expected Base Salary Range\n $204,000 — $348,000 USD \n About LILA \n Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\n LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials","salary_min":204000,"salary_max":348000,"location":"Boston, MA","workplace":"onsite","job_type":"full-time","experience_level":"principal","tags":["cloud","pytorch","embeddings","robotics","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4250071009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T19:39:54Z","expires_at":"2026-06-29T14:17:40.451966Z","created_at":"2026-05-30T14:17:40.562155Z","updated_at":"2026-05-30T14:17:40.562155Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8b3dbb78-3093-481e-9b0c-09e3ed1deb6e"},{"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":"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":"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":"f8a29ca5-91b9-4ad7-9236-f57043203a4b","company_id":"ff51c80a-dce9-4cb4-b2e6-9c060d25ef55","title":"Robotics Engineer, Technical Lead","slug":"robotics-engineer-technical-lead-f0a6b32f","description":"About Applied Intuition\n Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .\n We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. \n About the role\n This is a founding technical role helping build and shape Applied Intuition’s robotics organization from the ground up. You will set the technical direction for robotics software and AI, write production code, and build functional demos on physical hardware from day one. The role is weighted heavily toward software and learned behaviors, with the expectation that you can engage meaningfully across the hardware stack when needed.\n At Applied Intuition, you will:\n \n Define and own the technical architecture for humanoid robotics software, spanning perception, planning, control, and learned behaviors\n Write production-quality code in Python and C++ and ship it to physical robots — this is a hands-on individual contributor role first\n Design, train, evaluate, and deploy learning-based policies for manipulation and locomotion\n Build functional demonstrations on multiple robot hardware platforms that prove out capabilities and inform the product roadmap\n Establish simulation infrastructure and validate behaviors in physics-based environments before deploying to hardware\n Instrument robots, analyze telemetry and failure data, and iterate quickly to improve robustness in real-world conditions\n Work with teleoperation and data collection pipelines to generate training data and close the sim-to-real gap\n Identify and recruit the next engineers on the team\n \n We're looking for someone who has:\n \n BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field, or equivalent hands-on experience\n 7+ years of experience in robotics software development, with a meaningful portion on physical humanoid, legged, or highly dexterous manipulation platforms\n Proven track record shipping learning-based systems — behavior cloning, RL, or VLA policies — to real robots in production or near-production settings\n Strong proficiency in Python and C++ for robotics and ML systems; experience with PyTorch or equivalent deep learning frameworks\n Deep understanding of robotics fundamentals: kinematics, dynamics, control theory, state estimation, and perception\n Experience building and evaluating visuomotor or multimodal policies end to end, from data collection through deployment\n Ability to operate independently in an early-stage environment, make architectural decisions with limited information, and build from scratch\n Comfort on the lab floor — debugging physical robots, running hardware-in-the-loop tests, and iterating on live systems\n \n Nice to have:\n \n Experience with state-of-the-art bi-dexterous mobile hardware platforms, including dexterous manipulation and whole body control\n Familiarity with hardware bring-up, sensor integration, or embedded systems; ability to engage with mechanical and electrical teams at a subsystem level\n Background in SLAM, 3D perception, or sensor fusion (IMU, lidar, cameras, force/torque)\n Experience with physics simulators such as MuJoCo, NVIDIA Isaac Sim, or Gazebo\n Familiarity with ROS/ROS2 or similar robotics middleware\n Publication record or open-source contributions in robot learning, embodied AI, or manipulation\n \n Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n Applied Intuition pay ranges reflect the ","salary_min":250000,"salary_max":400000,"location":"Sunnyvale, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["cloud","robotics","deep-learning","pytorch"],"apply_url":"https://boards.greenhouse.io/appliedintuition/jobs/4700425005?gh_jid=4700425005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T17:33:51Z","expires_at":"2026-06-29T14:03:36.517513Z","created_at":"2026-05-30T14:03:36.628511Z","updated_at":"2026-05-30T14:03:36.628511Z","company_name":"Applied Intuition","company_slug":"applied-intuition","company_logo_url":"https://www.google.com/s2/favicons?domain=appliedintuition.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f8a29ca5-91b9-4ad7-9236-f57043203a4b"},{"id":"58a5e82c-4cbd-49e1-9ce2-45a7b213b0a9","company_id":"1df860e2-0800-48ea-81af-7121965be17a","title":"Engineering Manager - Machine Learning","slug":"engineering-manager-machine-learning-288c8ba8","description":"Your work will change lives. Including your own. \n \n The Impact You’ll Make \n You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across our supercomputing infrastructure, both on prem and in the cloud. You will work cross-functionally across ML engineering, data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions.\n In This Role You Will: \n \n Enable AI/ML, LLM, and Agentic Systems teams for scale - The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems. You will work closely with researchers and ML engineers to understand their infrastructure needs and build scalable solutions for model development, training, and deployment.\n Act as a mentor, coach, and sponsor - You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across teams at Recursion. We believe that the best work comes from working across organizational boundaries and you will have opportunities to partner with ML research, platform engineering, and business teams.\n Enable a model-driven culture - Machine learning is at the core of everything we do. You will work with stakeholders across the business to ensure our ML infrastructure supports rapid experimentation, reliable model deployment, and continuous improvement. Problems you will work on could range from optimizing GPU cluster utilization to implementing Agentic orchestration and establishing company-wide MLOps standards\n \n The Team You’ll Join: \n You'll be part of a group of technical leaders who work together on the craft of engineering leadership as well as debate ML system architecture, MLOps patterns, and infrastructure optimization strategies. We all work better when we have the support of those around us and are learning together to solve complex problems around model scalability, deployment reliability, and infrastructure efficiency across our teams. You will report to the Executive Director of Engineering who broadly oversees Cloud Infrastructure, High Performance Compute and Machine Learning Infrastructure space.\n The Experience You Will Need: \n \n Experience in a hands-on technical role as a tech lead or a manager with a focus on infrastructure, MLOps and distributed systems. Excitement for deeply engaging in technical details with your team around machine learning, orchestration and agentic systems.\n A people-first mindset. We deliver in a way that prioritizes supporting our coworkers in their growth and experience and understand how Conway's Law shapes our ML system outcomes.\n Demonstrated past record of learning from and teaching peers in areas of ML infrastructure, model deployment, distributed compute, GPU optimization, and MLOps system architecture\n Excitement to learn parts of our ML tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights \u0026 Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks.\n Fluency in life sciences or drug discovery is a plus but not required to be considered.\n \n Working Location \u0026 Compensation: \n This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah . Employees are expected to work in the office at least 50% of the time.\n At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $151,130 to $203,490 (USD) . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. \n #LI-EP1\n The Values We Hope You Share: \n \n We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. \n We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.\n We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.\n We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.\n We take ownership and accountability. Through ownership and acco","salary_min":151130,"salary_max":203490,"location":"Salt Lake City, Utah","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["pytorch","deep-learning","cloud","mlops","gpu","llm","distributed-systems","healthcare"],"apply_url":"https://job-boards.greenhouse.io/recursionpharmaceuticals/jobs/7961460","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T14:56:13Z","expires_at":"2026-06-29T14:07:04.532978Z","created_at":"2026-05-30T14:07:04.642889Z","updated_at":"2026-05-30T14:07:04.642889Z","company_name":"Recursion","company_slug":"recursion","company_logo_url":"https://www.google.com/s2/favicons?domain=recursion.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/58a5e82c-4cbd-49e1-9ce2-45a7b213b0a9"},{"id":"a944334e-23f0-4033-b1c8-307c9e7c7124","company_id":"75dcf7c0-5121-45f1-8d1b-6bfbfe15072f","title":"Helix AI Engineer, Backend Infrastructure ","slug":"helix-ai-engineer-backend-infrastructure-13269072","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-level backend engineer who has scaled high-throughput, low-latency data systems and has strong instincts around cloud infrastructure and real-time streaming pipelines. You'll architect and build the core backend systems that power Figure's real-time data infrastructure — enabling the scale and reliability that our AI and robotics platforms depend on.\n This is a high-ownership role at the intersection of media and sensor data streaming, cloud systems, and applied ML serving. You'll work closely with our AI and robotics teams to ensure latency, reliability, and throughput meet the demands of real-world robot operation.\n WHAT YOU'LL DO \n \n Architect and scale cloud backend infrastructure for high-concurrency, real-time streaming of media and sensor data across robot fleets and user sessions.\n Design and build low-latency data pipelines that ingest, route, and process high-bandwidth streams — including camera feeds, IMU data, and other robot sensor outputs — into our AI stack in real time.\n Own reliability, latency, and throughput SLAs for streaming and data infrastructure.\n Collaborate with AI and robotics teams to integrate ML model serving into real-time data pipelines.\n Build observability, alerting, and tooling to give the team full situational awareness over live robot traffic.\n Drive architectural decisions and mentor engineers across the team.\n \n WHAT WE'RE LOOKING FOR \n \n Deep experience scaling cloud backend systems handling high-concurrency, real-time data streams — media, sensor, telemetry, or equivalent high-bandwidth pipelines.\n Strong fundamentals in distributed systems: stream processing, connection management, data transport, and low-latency architecture.\n Proficiency in one or more backend languages (Go, C++, Python, Rust) and cloud platforms (AWS, GCP, or Azure).\n Experience with containerized infrastructure, service mesh, and large-scale deployment pipelines.\n Strong communication and cross-functional collaboration skills.\n \n NICE TO HAVE \n \n Hands-on experience integrating AI inference serving (Triton Inference Server, TensorRT, SageMaker, or similar) into real-time data pipelines.\n Background in robotics, autonomous vehicles, live media platforms, or other latency-critical streaming domains.\n Familiarity with protocols such as WebRTC, RTSP, gRPC, or Kafka for real-time data transport.\n Experience with on-device or edge inference and the tradeoffs of cloud vs. edge processing.\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":["robotics","mlops","api-design","autonomous-vehicles","cloud","gpu","data-pipeline","distributed-systems"],"apply_url":"https://job-boards.greenhouse.io/figureai/jobs/4685172006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T21:42:25Z","expires_at":"2026-06-29T14:05:53.514412Z","created_at":"2026-05-29T14:18:08.491663Z","updated_at":"2026-05-30T14:05:53.629497Z","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/a944334e-23f0-4033-b1c8-307c9e7c7124"},{"id":"152a9a3c-a62a-4f20-a505-60c62517b468","company_id":"861968d1-d9f8-4217-9873-ce4b24851abc","title":"Machine Learning Scientist, Multimodal AI ","slug":"machine-learning-scientist-multimodal-ai-e50612bb","description":"POSITION SUMMARY: \n Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate imaging, molecular, and clinical data, leveraging proprietary genomic and clinical datasets. You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed minimal residual disease (MRD) testing.\n PRIMARY RESPONSIBILITIES: \n \n Design, implement, and evaluate deep learning models across biomedical data modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA features\n Develop multimodal AI architectures that integrate H\u0026E whole-slide imaging data with molecular and clinical data sources\n Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS)\n Apply modern machine learning techniques including convolutional neural networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning\n Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools\n Analyze model outputs to generate reproducible biological and clinical insights\n Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders\n \n QUALIFICATIONS: \n \n PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI\n Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics\n Hands-on expertise with PyTorch and strong production-level programming skills in Python\n Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning\n Experience managing datasets and training workflows within distributed or cloud computing environments (AWS)\n Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows\n Experience adapting pre-trained foundation models for downstream biomedical applications\n \n PREFERRED QUALIFICATIONS: \n \n Experience integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworks\n Technical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assays\n Hands-on experience with digital pathology software and whole-slide imaging analysis\n Exposure to survival modeling, longitudinal prediction, or time-to-event modeling\n Experience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical data\n Domain knowledge in oncology, biomarker discovery, or clinical precision medicine\n Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)\n \n #LI-DNI\n  \n The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years \u0026 depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.\n Remote USA\n $124,800 — $156,000 USD \n OUR OPPORTUNITY \n Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.\n The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.\n WHAT WE OFFER \n Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!\n For more informatio","salary_min":124800,"salary_max":156000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["deep-learning","pytorch","healthcare","fine-tuning","generative-ai","cloud","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/natera/jobs/6004385004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T18:47:01Z","expires_at":"2026-06-29T14:10:20.275908Z","created_at":"2026-05-29T14:38:23.474911Z","updated_at":"2026-05-30T14:10:20.386097Z","company_name":"Natera","company_slug":"natera","company_logo_url":"https://www.google.com/s2/favicons?domain=natera.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/152a9a3c-a62a-4f20-a505-60c62517b468"},{"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":"a1e6623a-57bb-42a8-964e-e2b9698f0e35","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Senior Forward Deployed Engineer","slug":"senior-forward-deployed-engineer-ff299cc4","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n About Okta for AI Agents \n Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are.\n We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with.\n The Role \n You embed inside four to five of Okta’s most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production.\n You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer’s environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering.\n Responsibilities \n \n Become the customer’s trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions.\n Architect and deploy with the customer’s team. Build Okta’s agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns.\n Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture.\n Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real.\n Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated.\n Wire Okta into the customer’s stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions.\n Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection.\n Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer.\n Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room.\n \n Requirements \n \n Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput.\n Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP.\n Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2.\n Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate.\n AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers.\n AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent.\n Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp.\n High agency, founder’s mindset. A zero-to-one self-starter who owns outcomes end to end.\n \n #LI-Remote\n P25","salary_min":200000,"salary_max":275000,"location":"Bellevue, WA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","code-generation","agents","cloud","security"],"apply_url":"https://www.okta.com/company/careers/opportunity/7961356?gh_jid=7961356","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T13:23:38Z","expires_at":"2026-06-29T14:09:00.148157Z","created_at":"2026-05-28T14:10:39.406925Z","updated_at":"2026-05-30T14:09:00.25852Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a1e6623a-57bb-42a8-964e-e2b9698f0e35"},{"id":"afcbd32a-2f1d-4a75-9315-8bcd1e76ad5e","company_id":"e8dfc4ee-9649-4fd0-9c16-90d38a1954e1","title":"Staff Machine Learning Engineer, Fulfillment Planning","slug":"staff-machine-learning-engineer-fulfillment-planning-8c6dac71","description":"About the Team \n The Fulfillment Planning team builds the intelligence that powers DoorDash’s logistics network. We optimize how deliveries are planned and executed across the full delivery lifecycle, improving customer experience, merchant outcomes, Dasher efficiency, and DoorDash profitability.  Our mission is to improve fulfillment quality while reducing fulfillment cost. We do this by applying machine learning, optimization, and systems engineering to the core decisions behind assignment, routing, batching, timing, and fulfillment estimation.\n The team works on some of DoorDash’s most important logistics systems, including:\n \n The core assignment engine that matches deliveries with Dashers in real time.\n Real-time ETA and fulfillment estimation systems for consumers, Dashers, and merchants across diverse geographies and all business lines.\n Assignment and planning algorithms for specialized delivery types, including grocery, retail, parcel, and catering.\n ML models and optimization algorithms that shape demand, improve service quality, and reduce cost.\n Tier-0 logistics services that require high reliability, low latency, and strong operational discipline.\n \n The team also builds reusable ML systems and modeling patterns that scale across DoorDash’s logistics ecosystem. This role will help define the technical direction and best practices for logistics ML at DoorDash.\n About the Role \n We’re looking for a Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML systems that drive real-time decisioning across DoorDash’s fulfillment ecosystem.\n You will start by owning ML systems for assignment and fulfillment estimation, partnering closely with Product, Data Science, Engineering, and Platform teams to improve delivery quality, cost, and efficiency. Over time, you may also contribute to adjacent areas such as batching, fulfillment execution, demand shaping, and logistics optimization across DoorDash’s business lines.\n This is a high-impact individual contributor role for someone who enjoys building 0→1 ML systems, operating at Staff-level scope, and influencing technical direction across multiple teams. You will define architectures, set modeling and deployment standards, mentor other engineers, and help shape how DoorDash applies machine learning to logistics at scale.\n You’re excited about this opportunity because you will… \n \n Own and build foundational ML systems that directly impact delivery quality, cost, and overall logistics efficiency across DoorDash.\n Work on challenging, real-world machine learning problems , including real-time assignment, routing, and fulfillment estimation.\n Lead 0→1 ML initiatives , defining how machine learning and optimization are applied across fulfillment products.\n Influence architecture, strategy, and execution for a Tier-0 service critical to DoorDash’s logistics platform.\n Collaborate closely with Product, Data Science, and Platform Engineering in a highly cross-functional environment.\n Establish best practices for model development, deployment, monitoring, retraining, and governance.\n Define and lead DoorDash’s cutting-edge AI vision for logistics: an LLM-inspired foundation model for intelligence across logistics\n Mentor other engineers and raise the technical bar for logistics ML across the organization.\n \n We’re excited about you because… \n \n You have 8+ years of industry experience building and deploying production-scale machine learning systems.\n You have strong machine learning fundamentals and know how to apply them to large-scale production systems.\n You are fluent in Python\n You have hands-on experience with modern ML frameworks, especially deep learning frameworks.\n You have designed, launched, and operated mission-critical ML models or systems in production, including monitoring, retraining, reliability, and governance.\n You can lead complex technical projects end to end and influence stakeholders across multiple teams or organizations.\n You communicate clearly with both technical and non-technical audiences.\n You are comfortable operating in ambiguous problem spaces and turning 0→1 ideas into production systems.\n You have built or shipped large-scale ML models for recommendation, ads, marketplace, logistics, or other domains.\n You have experience with knowledge distillation from large teacher models into efficient production models.\n \n  \n Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only\n We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.\n The Covey tool has been reviewed ","salary_min":203500,"salary_max":299300,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["llm","fine-tuning","generative-ai","cloud","healthcare","deep-learning","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/doordashusa/jobs/7962110","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T23:47:57Z","expires_at":"2026-06-29T14:18:34.57356Z","created_at":"2026-05-28T14:20:10.032116Z","updated_at":"2026-05-30T14:18:34.681457Z","company_name":"DoorDash","company_slug":"doordash","company_logo_url":"https://www.google.com/s2/favicons?domain=doordash.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/afcbd32a-2f1d-4a75-9315-8bcd1e76ad5e"},{"id":"f18a9045-c453-4617-84c9-63c285e45fbc","company_id":"65bce624-56a0-4c48-8e69-eda588090849","title":"Full Stack Engineer, AgentControl","slug":"full-stack-engineer-agentcontrol-9ca8eb11","description":"About the Job: \n As a Full Stack Engineer on LaunchDarkly’s AgentControl team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale. These systems enable customers to control, monitor, and optimize their agent’s functionality. You’ll primarily work in Go, Python, and Typescript and will work directly with other technologies and tools such as AWS, CockroachDB, and Datadog.\n LaunchDarkly’s AgentControl team is on a mission to manage the complete software development lifecycle for shipping agents to production, from configuring to benchmarking to observing and beyond. This team has a huge opportunity ahead of it; we're growing fast and we need your help writing the next chapter in our story.\n Responsibilities:\n \n \n Build and maintain scalable backend services and APIs that power the AI Configs product\n \n Collaborate with internal stakeholders, including product managers, designers, and other LaunchDarkly engineering teams, to understand real-world challenges and improve GenAI workflows using our own platform.\n \n Continuously optimize the performance, reliability, and scalability of our systems\n \n Participate in architecture and design discussions, offering thoughtful input and collaborating with senior engineers to identify tradeoffs and make well-informed decisions\n \n Keep up-to-date with the latest developments in the AI field and in software development best practices\n \n Take ownership of code in production, participate in on-call rotations, and help improve the reliability and maintainability of our systems over time.\n \n Qualifications:\n \n \n 5+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features.\n \n Hands-on experience building GenAI features, Agents, and/or working with Large Language Models (LLMs), either through direct model integration or leveraging AI APIs like OpenAI, Google Cloud AI, or AWS Bedrock.\n \n Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments.\n \n Experience with designing, implementing, and maintaining RESTful APIs\n \n Experience writing production-ready code with emphasis on quality and maintainability\n \n Experience with distributed systems or data ingestion\n \n Strong computer science fundamentals\n \n Committed to working in a communicative, collaborative environment\n \n Comfortable navigating ambiguous challenges in a rapidly evolving domain, and excited about staying at the forefront of AI advancements\n \n Strong sense of ownership and accountability for delivering impactful solutions\n \n Proven ability to work closely with Product and Design teams to define requirements for new features in a fast-paced iterative environment\n \n \n Pay: \n Target pay ranges based on Geographic Zones* for Level 3: \n \n Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400**\n Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860**\n Zone 3: All other US locations - $145,500 - $200,090**\n \n LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. \n *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. \n About LaunchDarkly: \n Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare \"big-bang\" technology migrations. \n The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:\n \n Improving the velocity and stability of software releases, without the fear of end customer outages\n Delivering targeted experiences by easily personalizing features to customer cohorts\n Maximizing the business impact of every feature through the ability to experiment and optimize\n Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types\n Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability\n \n At LaunchDarkly, we b","salary_min":145500,"salary_max":200090,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","llm","fine-tuning","generative-ai","cloud","fullstack"],"apply_url":"https://job-boards.greenhouse.io/launchdarkly/jobs/7750116003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T22:02:02Z","expires_at":"2026-06-29T14:16:49.153499Z","created_at":"2026-05-28T14:18:25.498364Z","updated_at":"2026-05-30T14:16:49.263304Z","company_name":"LaunchDarkly","company_slug":"launchdarkly","company_logo_url":"https://www.google.com/s2/favicons?domain=launchdarkly.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f18a9045-c453-4617-84c9-63c285e45fbc"},{"id":"8f9c6077-75d0-4b5b-b703-965d816fb18b","company_id":"cf6855a4-6591-475f-be10-f3f36cf31758","title":"Senior Product Manager, AI Agent Orchestration","slug":"senior-product-manager-ai-agent-orchestration-11c09d00","description":"WHAT IS BOX?  \n Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.\n By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.\n WHY BOX NEEDS YOU  \n Box AI is transforming the way businesses manage and leverage content by incorporating cutting-edge artificial intelligence and machine learning capabilities into the Box Content Cloud. As a Senior Product Manager for Box AI Agents , you will play a key role in building the next frontier of intelligent content management, leading AI-driven solutions that revolutionize how enterprises interact with their content.\n In this role, you will be at the helm of driving Box’s AI platform strategy, execution, and iteration, shaping the future of enterprise AI solutions . You’ll define and execute product roadmaps that leverage AI technologies, such as large language models (LLMs) and retrieval-augmented generation (RAG), to unlock insights, automate workflows, and improve collaboration across global enterprises. Your work will directly impact how businesses across the world manage and extract value from their content at scale.\n If you're passionate about defining and leading AI product strategies, bringing AI solutions to market, and driving real-world business impact, this is your chance to lead a high-impact role in the next chapter of Box’s AI growth.\n WHAT YOU'LL DO \n \n Lead the strategy and long-term architecture for Box's core AI orchestration platform — the foundational layer that powers how AI agents reason, plan, and act across the entire Box product surface.\n Define and own a technically complex, mission-critical product area at the intersection of AI infrastructure and enterprise-grade content workflows, balancing the needs of internal platform teams, external developers, and enterprise customers.\n Drive the next generation of agent architecture, anticipating how advances in AI reasoning, multi-step planning, and compute paradigms will reshape what's possible — and translating that vision into a concrete, sequenced roadmap.\n Serve as the connective tissue across every team building on the AI platform — establishing shared primitives, coordinating dependencies, and ensuring that foundational architectural decisions scale gracefully as adoption grows.\n Lead end-to-end product development for the orchestration layer: from identifying capability gaps and architectural constraints to shipping production-grade solutions and iterating based on real-world usage signals.\n Collaborate deeply with engineering and applied AI teams to design and evolve the systems that govern how tools are invoked, how context is managed, and how agents coordinate across complex, multi-turn workflows.\n Establish a rigorous, metrics-driven approach to platform health and capability maturity — defining the right signals to measure reliability, latency, and quality at scale across diverse enterprise use cases.\n Partner cross-functionally with teams across features, infrastructure, and go-to-market to ensure the platform's capabilities are well-understood, well-documented, and effectively leveraged by every team building on top of it.\n Stay at the leading edge of the AI agent landscape — continuously evaluating emerging patterns in orchestration, tool use, and agentic compute — and bringing that perspective to bear on Box's platform strategy.\n \n WHAT YOU'LL DO  \n \n Lead the strategy and long-term architecture for Box's core AI orchestration platform — the foundational layer that powers how AI agents reason, plan, and act across the entire Box product surface.\n Define and own a technically complex, mission-critical product area at the intersection of AI infrastructure and enterprise-grade content workflows, balancing the needs of internal platform teams, external developers, and enterprise customers.\n Drive the next generation of agent architecture, anticipating how advances in AI reasoni","salary_min":192500,"salary_max":240500,"location":"Redwood City, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["rag","embeddings","cloud","fine-tuning","llm","agents"],"apply_url":"https://job-boards.greenhouse.io/boxinc/jobs/7959067","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T16:34:48Z","expires_at":"2026-06-29T14:19:20.680259Z","created_at":"2026-05-28T14:21:03.444277Z","updated_at":"2026-05-30T14:19:20.791946Z","company_name":"Box","company_slug":"box","company_logo_url":"https://www.google.com/s2/favicons?domain=box.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8f9c6077-75d0-4b5b-b703-965d816fb18b"},{"id":"df157081-449b-4687-984b-55a9b56309e6","company_id":"0d5cf132-03f2-47aa-8161-dcb1b95aca68","title":"Runtime Engineer","slug":"runtime-engineer-b8e275b2","description":"What MatX is Building \n MatX is building custom silicon for large-language-model inference and training, with HW/SW co-design across ISA, RTL, simulator, compiler, and kernels so each layer benefits from the others. The runtime owns the host-side stack and the contracts that bind those teams together.\n What You'll Do Here \n \n Build the host-side interface library — device memory management, DMA, streams and events, sync primitives — that every compiler-emitted program runs on top of\n Own and extend the executable format: the compiler→runtime contract, its versioning, the weight and quantization layouts that let compiler and runtime evolve independently\n Design the custom-kernel ABI — calling convention, sync semantics, lifecycle — and the host-side marshaling layer (DLPack, the buffer protocol, numpy) that gets Python tensors to the device\n Build Python bindings via PyO3, with a C-ABI shim as the alternative integration path for downstream consumers\n Build the LLM inference serving stack — paged KV cache, continuous batching, request scheduling, token streaming — and the cluster orchestration primitives underneath it\n Bring up interconnect topology from the host and own the failure-detection and clean-teardown path for stop-restructure-resume recovery across racks\n Design what the chip exposes to host-side profilers and debuggers — perf counters, traces, and the Python surfaces ML engineers actually use — and hit measurable performance targets on runtime overhead and serving throughput\n \n Who You Are \n \n Strong experience in a systems programming language — Rust, C, C++, or Go — including memory management, allocator design, and FFI/ABI work\n Have built Python interop layers in production (PyO3, ctypes, pybind11, or equivalent C-ABI bridging)\n Have designed and maintained API or ABI contracts between teams — versioning, evolution, breaking-change discipline — not just consumed someone else's\n Hands-on with at least one accelerator programming model (CUDA, ROCm, oneAPI Level Zero, TPU, or comparable) — enough to reason about device memory, async execution, and kernel launch\n ML-systems literate — comfortable with the training and inference loop, what collectives do, what a tensor layout is. Research depth not required.\n \n Bonus Points If You Have \n \n LLM inference internals — vLLM, TensorRT-LLM, or SGLang (paged attention, scheduler design)\n Rust at depth, including proc macros, unsafe with soundness reasoning, and complex lifetime/trait work\n Custom allocator design (slab, paged, arena) or other low-level memory work\n ML framework integration experience (PyTorch custom backends, JAX/XLA, ONNX runtime)\n Profiler or tracing infrastructure work (perfetto, Nsight, or a custom stack)\n Driver-adjacent or kernel-bypass work, or prior new-silicon bring-up\n \n Compensation \n The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.\n \n Early Career - $120,000 - $250,000 + equity\n Mid Career - $175,000 - $362,500 + equity\n Senior Career - $250,000 - $475,000 + equity\n \n What We Offer \n \n A Stake in our success  Generous equity, with option cash/equity swap at offer, and option to employee early exercise.\n Health \u0026 Wellness  Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don’t)\n Time To Recharge  4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year\n Support to Parents  Up to 12 weeks of paid parental leave, regardless of your path to parenthood\n Learning \u0026 Development  $1,500 yearly towards your professional development e.g. conferences, courses, and other learning opportunities\n Team Connection  Team Lunches, quarterly off-sites, and regular town halls\n Financial Wellbeing.  401K and/or Roth IRA, with 5% company contribution, even if you don’t!\n Flexible Spending Accounts  Pre-tax spend accounts for medical, dental/vision, dependent care, parking, and transit expenses\n Commute On Us  For those commuting up to 1 hour, put your rideshare cost on our company card and reclaim the drive-time to get work done!\n MatX E[x]tras  $50 per month to use on the perks you care about most \n Remote Perks  We work remotely Monday \u0026 Friday, supported by home-tech setup, and remote wifi expense reimbursement\n \n As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status,","salary_min":250000,"salary_max":475000,"location":"Mountain View, CA","workplace":"remote","job_type":"full-time","experience_level":"principal","tags":["gpu","pytorch","cloud","llm"],"apply_url":"https://job-boards.greenhouse.io/matx/jobs/5231974008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T03:06:08Z","expires_at":"2026-06-29T14:13:28.359183Z","created_at":"2026-05-27T14:14:01.932882Z","updated_at":"2026-05-30T14:13:28.471451Z","company_name":"MatX","company_slug":"matx","company_logo_url":"https://www.google.com/s2/favicons?domain=matx.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/df157081-449b-4687-984b-55a9b56309e6"},{"id":"0ffaba88-636c-40f6-b308-69d1b07a2471","company_id":"238f4b8f-1e78-4053-9068-017564d76785","title":"Senior Platform AI Engineer","slug":"senior-platform-ai-engineer-4ad89166","description":"Our Mission \u0026 Values:\nAt Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build.\n\nWe live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority.\n\nOur Culture \u0026 Work Style 🚀\n\nAt Drata, we’re not just building software - we’re building a mindset. Everything we do springs from:\n\n - Be a Driver (Owner‑Operator Mentality): Own your work. Improve relentlessly. Deliver results.\n\n - Move at Drata Speed (Precision \u0026 Velocity): Fast decisions. Quick learning. Immediate impact.\n\n - Stay Mission-Driven (Customer‑Obsessed): Challenge assumptions. Deliver value. Stay hungry.\n\nWe pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That’s why in the Bay we come together in-office Tuesday through Thursday our high‑impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy.\n\nIf you thrive when you’re empowered, energized, and working with smart, mission-driven people, you’ll feel at home here.\n\nWhy Join The Drata Team?\n\nThe best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide, united by a culture that values trust, speed, and continuous growth.\n\n - See the Speed: https://www.youtube.com/watch?v=QidTdkGwKMY Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four years\n\n - Hear the Voice of the Team https://drata.com/about/life-at-drata: Explore our \"Life at Drata\" page for employee testimonials on our collaborative and the growth opportunities available.\n\n - Experience the Impact https://www.greatplacetowork.com/certified-company/7044563: See why we are consistently recognized on Fortune's Best Workplaces lists.\n\n - Connect with Us on Socials: LinkedIn https://www.linkedin.com/company/drata/posts/?feedView=all - follow us for company updates, employee stories, and career news.\n\nJob Summary:\n\nDrata's AI Platform team builds the production infrastructure that powers AI features across our compliance platform — from MCP servers that make Drata's data available to AI agents, to LLM workflow orchestration that automates SOC 2, TPRM, and policy analysis. You'll own the systems that sit between our AI models and our customers: tool definitions that agents actually understand, deployment pipelines that handle model upgrades without breaking output quality, and orchestration layers that manage multi-step agent workflows with persistent state.\n\nThis is not a traditional infrastructure role. You'll debug prompt templates alongside Terraform modules. You'll design API schemas optimized for LLM token budgets, not just HTTP throughput. When a model upgrade changes behavior across 15 workflows, you'll assess quality impact — not just confirm the containers are healthy.\n\nYou'll work closely with our agent developers, product engineers, and an embedded SRE partner, sitting at the intersection of AI development and production reliability.\n\nOur north star is simple: minimize the time it takes to launch a new agent in production. You're someone who asks \"are we solving the right problem?\" before writing the first line of code, who builds systems that make five other engineers faster, not just yourself, and who's equally proud of what they chose not to build.\n\nWhat you'll do:\n\n\nMCP SERVER DEVELOPMENT \u0026 AI-OPTIMIZED API DESIGN\n\n - Design and build MCP (Model Context Protocol) servers that expose Drata's platform to AI agents. This means making architectural decisions about tool granularity, naming conventions for agent disambiguation, response compression for LLM context windows, and workspace isolation for multi-tenant access. You'll own the protocol layer that determines whether agents can reliably find and use the right tools — writing semantic parameter descriptions, contextual hints, and tool schemas that optimize for model comprehension, not just developer ergonomics.\n\n\nAGENT ORCHESTRATION \u0026 WORKFLOW INFRASTRUCTURE\n\n - Build and operate the infrastructure for deploying multi-step agent workflows — state management across complex reasoning chains, tool routing and execution runtimes, and long-running agentic processes that persist over time. Own the orchestration layer that coordinates agent planning, tool calls, and human-in-the-loop patterns. Design systems that handle agent failure modes gracefully: retries on ambiguous tool ","salary_min":192000,"salary_max":259800,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","search","healthcare","llm","cloud","rag","agents","api-design"],"apply_url":"https://jobs.ashbyhq.com/drata/f0ab62fb-c0a8-4bf2-bfd6-9d9d2e68fb91/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T23:02:26.469Z","expires_at":"2026-06-29T14:13:56.372048Z","created_at":"2026-05-27T14:14:32.001255Z","updated_at":"2026-05-30T14:13:56.493566Z","company_name":"Drata","company_slug":"drata","company_logo_url":"https://www.google.com/s2/favicons?domain=drata.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0ffaba88-636c-40f6-b308-69d1b07a2471"},{"id":"77cc20d9-b485-408a-9a85-753c8c333d3c","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Senior Software Engineer, App","slug":"senior-software-engineer-app-e60d648a","description":"Your Impact at LILA Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality — and we need engineers who want to solve problems no one has solved before.\n We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.\n About The Team \n The Application Team sits at the center of LILA — the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.\n \n AI isn't a feature here — it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.\n The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.\n You'll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast.\n You'll ship things that matter. The tools you build accelerate research timelines from months to days.\n \n If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don't exist yet — we want to talk.\n \n What You'll Be Building \n \n Design \u0026 Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.\n Database Architecture \u0026 Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\n Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.\n Performance \u0026 Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\n Cloud \u0026 Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\n Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\n \n What You'll Need To Succeed \n \n Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.\n 5-8+ years of engineering experience building and deploying large-scale systems in production. You must be strong in backend.\n Full Stack Development : Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\n Hands on experience using AI coding assistants to drive productivity is required.\n Communication \u0026 Collaboration : Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\n Problem Solving : Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.\n \n Bonus Points For \n \n Applied AI Engineering: Experience building with AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.\n Cloud \u0026 DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\n Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).\n Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).\n Familiarity with Python for Science : Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).\n Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.\n Experience with laboratory devices, robotics, or hardware drivers.\n \n \n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\n U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\n International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to","salary_min":144000,"salary_max":240000,"location":"Boston, MA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","pytorch","robotics","data-pipeline","llm","embeddings","cloud","rag"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248042009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T16:55:46Z","expires_at":"2026-06-29T14:17:43.519875Z","created_at":"2026-05-27T14:18:34.581118Z","updated_at":"2026-05-30T14:17:43.627321Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/77cc20d9-b485-408a-9a85-753c8c333d3c"}],"page":1,"per_page":20,"total":1815,"total_pages":91}