Teams at Thinking Machines Lab

Build, operate, and maintain research infrastructure (evaluation frameworks, RL training systems, experiment tracking, visualization). Develop scalable distributed pipelines, ensure reproducibility and observability, and partner with researchers and infrastructure teams to accelerate ML research and tooling adoption.

Build and operate ML research infrastructure: evaluation frameworks, RL training systems, experiment tracking, distributed evaluation pipelines, observability, and reproducibility tooling. Partner with researchers to identify bottlenecks, drive adoption, and integrate tools across infrastructure, data, and product stacks.

The Executive Business Partner will manage calendars, coordinate travel, support recruiting, and track projects for technical leaders in a fast-paced startup environment.