Research Lead Tinker Fine Tuning Science Jobs in San Francisco, CA

You'll lead the Fine-tuning Science team, setting the research agenda for frontier customization techniques and for Tinker, the leading post-training engine

About the Role Tinker is our fine-tuning

Improve the stability, efficiency, and reliability of large-scale fine-tuning and RL runs on Tinker.

frontier labs to reinforce fine tune models on our proprietary data REQUIREMENTS Prior experience building

You will report directly to our Head of Research, and work most closely with our small group of post-training researchers.

AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models

Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents.

Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant.

scientist, including direct experience training or fine-tuning models in production systems PhD in Computer Science, Electrical Engineering, or a related

Nice to have: Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects

, instrumentation, and signal collection from messy real-world sources Strong Python and SQL skills LLM workflows, retrieval systems, evals, fine-tuning

Backed by leading investors and with over $1B raised, World Labs is assembling a world-class team at the intersection of AI research and real-world deployment.

Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.

AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models