…of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns…

…researchers with the technical depth to move the frontier in pretraining, reinforcement learning (RL) / post-training, or evals; and researchers with real depth in…

…training machine learning models. Experience with Agentic integrations and Model Context Protocol. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Science…

…We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and…

…ABOUT THE JOB We are looking for a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning…

…of experience in machine learning and AI, with 5+ years in senior technical leadership roles overseeing applied AI or ML engineering organizations that have…

…Define and maintain clear research quality standards and engineering best practices and engineering standards for the team PhD degree in Computer Science, Machine Learning…

…investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which…

…You might thrive in this role if you: - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and…

…YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and…

…YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and…

…YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and…

…applied research, and can quickly learn across unfamiliar parts of the stack. - Have hands-on experience with LLMs, post-training, RL/RLHF/RLAIF, evals…

…You might thrive in this role if you - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and…

…preference optimization / RL such as GRPO-style methods), (2) agentic systems (tool schemas, multi-turn reliability, rubric- or verifier-based learning loops), and (3…

…of applied research experience - Experience programming in Java, C++, Python or related language - Experience directly managing scientists or machine learning engineers - Experience with the…

…post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train…

…throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable…

…What We’re Looking For 5+ years of experience in applied AI, research or machine learning roles, with at least 4+ years of experience…

…research at Thinking Machines. You’ll own internal infrastructure — evaluation libraries, RL training libraries, experiment tracking platforms — and build systems that compound research velocity…

…LLMs (SFT, RLHF/RLAIF, DPO/ORPO) Machine Learning Background: Understanding of ML fundamentals and experience with model evaluation metrics. Open Source Contributions: Experience contributing…

…software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception…

…YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and…

…and using fine-tuning and RL techniques to improve LLMs. WHAT ARE WE LOOKING FOR? - PhD in machine learning or related field (neuroscience, EE…