Research, Finetuning Science

Job description preview

From Thinking Machines Lab’s original posting

ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE At Thinking Machines we build tools that enable people to make AI their own, customizing models to serve their unique needs. This includes the ability to train model weights. In this role, you'll work on frontier customization techniques and help build the best post-training engine in the industry – Tinker – drawing on a whole-stack understanding of RL science. Findings directly shape Tinker's training defaults, API design, and the open-source Tinker Cookbook. You'll work with our internal research teams as well as contributing to open science for external partners. WHAT YOU’LL DO In this role, you'll advance the science of fine-tuning and frontier post-training techniques. You’ll: - Contribute to areas like LoRA and parameter efficient fine-tuning and how to push customization quality, efficiency, and…