Research Lead Tinker Fine Tuning Science Jobs

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.

You will work closely with researchers and senior engineers to implement and improve workflows for LLM pretraining, fine-tuning, and reinforcement learning-based

You will work on a diverse range of projects, from training bespoke models from scratch to fine-tuning and optimizing the latest Large Language Models (LLMs) for

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

fine-tuning, distillation, synthetic data, and related methods.

- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications

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

Significant experience leading technical projects or teams in machine learning, AI research, or large-scale distributed systems.

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