{"schemaVersion":"jobsearcher.job.v1","id":"32da657a42cd955b5a7efebe","url":"https://jobsearcher.com/jobs/32da657a42cd955b5a7efebe","canonicalUrl":"https://jobsearcher.com/jobs/32da657a42cd955b5a7efebe","title":"Research Engineer, AI/ML Systems","description":"Who We Are\n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nThe Way We Work\n\nThe people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\n\nMove with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\nTake Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\nCommunicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\nBuild Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\nRaise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\nThink Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\n\nWhat We're Looking For\n\nWe're looking for a curious, adaptable Research Engineer who enjoys solving difficult technical problems and building across the AI stack to join our Research Engineering function here at Lightning.\n\nThis role is intentionally broad, with a primary focus on post-training models and the systems that support it. You'll work across ML engineering, software engineering, and AI systems to improve how we develop, train, evaluate, and deploy models. As team priorities evolve, you'll have opportunities to contribute across developer tooling, infrastructure, and platform capabilities that help researchers and customers develop, train, and deploy AI more effectively.\n\nWe're looking for someone who enjoys learning new technologies, working across multiple technical domains, and tackling whatever problems have the greatest impact. Strong software engineering fundamentals, curiosity, and a willingness to continuously learn are more important than already being an expert in every area of AI systems. If you've spent meaningful time building AI projects, experimenting with PyTorch, contributing to open source, reproducing research, or exploring new ideas because you're genuinely interested, we'd love to hear about it.\n\nThis role is hybrid with a minimum of 2 in-office days per week in San Francisco, Seattle, NYC, or London, with fully remote work considered for candidates outside of our office hub locations. All employees participate in occasional team and company offsites.\n\nWhat You'll Do\nDevelop and post-train models, while building and improving the systems and workflows needed to run, evaluate, debug, and scale training workloads.\nBuild software, tooling, and platform capabilities that improve how researchers, developers, and customers develop, train, and deploy AI systems.\nContribute to Lightning's open-source projects by building new features, improving existing functionality, and collaborating with the broader developer community.\nWork across deep learning systems, developer tooling, backend services, and platform infrastructure to solve a wide variety of engineering challenges.\nCollaborate directly with customers to understand real-world AI workloads, investigate technical challenges, and translate those learnings into reusable product and platform improvements.\nPrototype new ideas, evaluate approaches, and turn successful experiments into production-quality software.\nPartner closely with research, product, and infrastructure engineering teams to improve developer experience, AI workflows, and platform capabilities.\nDebug complex technical problems spanning machine learning, distributed systems, backend software, and developer tooling.\nLearn new technologies quickly and contribute wherever your skills can have the greatest impact as team priorities evolve.\n\nWhat You'll Need\nRequired Qualifications\nExperience building, training, evaluating, or experimenting with deep learning models.\nHands-on experience with deep learning frameworks such as PyTorch.\nStrong software engineering fundamentals building software and debugging and problem-solving skills, with the ability to investigate unfamiliar technical challenges.\nCuriosity, initiative, and a demonstrated ability to quickly learn new technologies and technical domains.\nExcellent communication and collaboration skills, including the ability to work effectively across research, product, infrastructure, and customer-facing engagements.\nComfortable working in fast-moving, ambiguous environments where priorities evolve over time.\nBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\nIdeal Experience\nExperience with model training at scale, including distributed training, performance optimization, training stability, and/or large-scale experimentation.\nExperience with transformer-based language models or modern generative AI systems.\nExperience with distributed systems, cloud infrastructure, or large-scale machine learning workloads.\nFamiliarity with technologies such as CUDA, Hugging Face, DeepSpeed, FSDP, Triton, vLLM, SGLang, NVIDIA Molt, or related AI infrastructure tooling.\nExperience contributing to open-source software or conducting research through academia, industry, or meaningful independent projects.\nStartup experience or experience working on highly cross-functional engineering teams.\nMaster's degree or higher in Computer Science, Machine Learning, AI, or a related field.\n\nCompensation\nBenefits and Perks\n\nWe offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:\n\nComprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.\nMeaningful Equity: RSUs that give employees a stake in the company's long-term success.\nRetirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).\nFlexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.\nCompany-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.\nPaid Parental & Family Leave: Paid leave to support you and your family through life's important moments.\nProfessional Development: Annual learning and development allowance to support your professional growth.\nWellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.\nSabbatical Program: Four weeks of paid sabbatical leave after four years of service.\nFlexible Work: Flexible schedules and a hybrid work model for our office-based teams.\nIn-Office Meals: Complimentary meals at our office hubs.\n\nBenefits may vary by location, team, and role.\n\nAt Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.","company":"Lightningai","rawCompany":"lightningai","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-06T13:29:18.365Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Engineer, AI/ML Systems","description":"Who We Are\n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nThe Way We Work\n\nThe people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\n\nMove with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\nTake Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\nCommunicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\nBuild Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\nRaise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\nThink Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\n\nWhat We're Looking For\n\nWe're looking for a curious, adaptable Research Engineer who enjoys solving difficult technical problems and building across the AI stack to join our Research Engineering function here at Lightning.\n\nThis role is intentionally broad, with a primary focus on post-training models and the systems that support it. You'll work across ML engineering, software engineering, and AI systems to improve how we develop, train, evaluate, and deploy models. As team priorities evolve, you'll have opportunities to contribute across developer tooling, infrastructure, and platform capabilities that help researchers and customers develop, train, and deploy AI more effectively.\n\nWe're looking for someone who enjoys learning new technologies, working across multiple technical domains, and tackling whatever problems have the greatest impact. Strong software engineering fundamentals, curiosity, and a willingness to continuously learn are more important than already being an expert in every area of AI systems. If you've spent meaningful time building AI projects, experimenting with PyTorch, contributing to open source, reproducing research, or exploring new ideas because you're genuinely interested, we'd love to hear about it.\n\nThis role is hybrid with a minimum of 2 in-office days per week in San Francisco, Seattle, NYC, or London, with fully remote work considered for candidates outside of our office hub locations. All employees participate in occasional team and company offsites.\n\nWhat You'll Do\nDevelop and post-train models, while building and improving the systems and workflows needed to run, evaluate, debug, and scale training workloads.\nBuild software, tooling, and platform capabilities that improve how researchers, developers, and customers develop, train, and deploy AI systems.\nContribute to Lightning's open-source projects by building new features, improving existing functionality, and collaborating with the broader developer community.\nWork across deep learning systems, developer tooling, backend services, and platform infrastructure to solve a wide variety of engineering challenges.\nCollaborate directly with customers to understand real-world AI workloads, investigate technical challenges, and translate those learnings into reusable product and platform improvements.\nPrototype new ideas, evaluate approaches, and turn successful experiments into production-quality software.\nPartner closely with research, product, and infrastructure engineering teams to improve developer experience, AI workflows, and platform capabilities.\nDebug complex technical problems spanning machine learning, distributed systems, backend software, and developer tooling.\nLearn new technologies quickly and contribute wherever your skills can have the greatest impact as team priorities evolve.\n\nWhat You'll Need\nRequired Qualifications\nExperience building, training, evaluating, or experimenting with deep learning models.\nHands-on experience with deep learning frameworks such as PyTorch.\nStrong software engineering fundamentals building software and debugging and problem-solving skills, with the ability to investigate unfamiliar technical challenges.\nCuriosity, initiative, and a demonstrated ability to quickly learn new technologies and technical domains.\nExcellent communication and collaboration skills, including the ability to work effectively across research, product, infrastructure, and customer-facing engagements.\nComfortable working in fast-moving, ambiguous environments where priorities evolve over time.\nBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\nIdeal Experience\nExperience with model training at scale, including distributed training, performance optimization, training stability, and/or large-scale experimentation.\nExperience with transformer-based language models or modern generative AI systems.\nExperience with distributed systems, cloud infrastructure, or large-scale machine learning workloads.\nFamiliarity with technologies such as CUDA, Hugging Face, DeepSpeed, FSDP, Triton, vLLM, SGLang, NVIDIA Molt, or related AI infrastructure tooling.\nExperience contributing to open-source software or conducting research through academia, industry, or meaningful independent projects.\nStartup experience or experience working on highly cross-functional engineering teams.\nMaster's degree or higher in Computer Science, Machine Learning, AI, or a related field.\n\nCompensation\nBenefits and Perks\n\nWe offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:\n\nComprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.\nMeaningful Equity: RSUs that give employees a stake in the company's long-term success.\nRetirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).\nFlexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.\nCompany-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.\nPaid Parental & Family Leave: Paid leave to support you and your family through life's important moments.\nProfessional Development: Annual learning and development allowance to support your professional growth.\nWellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.\nSabbatical Program: Four weeks of paid sabbatical leave after four years of service.\nFlexible Work: Flexible schedules and a hybrid work model for our office-based teams.\nIn-Office Meals: Complimentary meals at our office hubs.\n\nBenefits may vary by location, team, and role.\n\nAt Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.","datePosted":"2026-09-06T13:29:18.365Z","dateModified":"2026-09-06T13:29:18.365Z","hiringOrganization":{"@type":"Organization","name":"Lightningai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"32da657a42cd955b5a7efebe"},"url":"https://jobsearcher.com/jobs/32da657a42cd955b5a7efebe"}}