AI Jobs

This role involves developing novel machine learning methods and advancing OpenAI's research agenda across domains like multimodal learning, reasoning, robotics, and alignment. You will conduct original research to advance AI state-of-the-art, design and evaluate novel algorithms at scale, and collaborate with interdisciplinary teams to translate research into production systems.

Build distributed training, inference, and RL infrastructure systems that power Cursor's frontier coding models and scale them on real user data. This role requires strong distributed systems expertise, end-to-end ownership, and deep intuitions about how language models work.

Build, profile, and optimize Scale's internal distributed framework (RLXF) for large language model training and inference that powers MLEs, researchers, and data scientists across the organization. This role requires strong system optimization expertise, experience with multi-node LLM training/inference, and proficiency in developing large-scale distributed ML systems.

This fellowship role involves collaborating with top researchers to design, evaluate, and optimize advanced generative AI systems, including designing and reviewing PyTorch models, evaluating ML code efficiency, and advising on GPU optimization. Key skills required include deep learning expertise, PyTorch proficiency, ML model optimization, and the ability to evaluate complex AI-generated implementations for correctness and performance.

This fellowship role involves collaborating on high-impact AI research projects, designing and evaluating advanced generative AI systems, and optimizing PyTorch models for real-world deep learning workflows. Key skills include proficiency in PyTorch, deep learning expertise, GPU optimization knowledge, and ability to evaluate ML code for efficiency and correctness.