Teams at Thinking Machines Lab

Coordinate high-volume interview scheduling across time zones, manage logistics (travel, expenses, rooms, technical support), own candidate communications, scale and train interviewer pools, use scheduling tools to automate processes, collect and audit interview feedback, maintain recruiting documentation and data integrity, and provide ad-hoc operational support for recruiting initiatives.

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.

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