Thinking Machines Lab
The role involves designing and building a self-serve platform for authoring, running, tracking, and analyzing model evaluations, supporting both external benchmarks and internal experiments. The engineer will work across Python frameworks, data pipelines, APIs, and user-facing applications, collaborating with research and engineering teams to make evaluation results reproducible and trustworthy.
Thinking Machines Lab is an artificial intelligence research and product company focused on making advanced AI systems more widely understood, customizable, and generally capable. They aim to close gaps between rapidly advancing capabilities and the scientific/public understanding of how these systems are trained and used. Through research, public-facing writing (the Connectionism blog), and products such as their recently introduced Tinker, they build tools and knowledge to help people and organizations tailor AI to their needs and values.
NVIDIA and Thinking Machines Lab Announce Long-Term Gigawatt-Scale Strategic Partnership
2 days ago
Nvidia makes 'significant investment' in Mira Murati's Thinking Machines Lab
3 days ago
Nvidia backs Thinking Machines with compute and capital
3 days ago
Nvidia to Invest in Thinking Machines Lab and Supply AI Chips
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Thinking Machines Lab.
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