Thinking Machines Lab
This role focuses on owning compute allocation and optimizing the use of supercomputing resources within an AI research environment. The position involves collaborating with researchers and infrastructure engineers to understand demand, evaluate competing needs, and translate research priorities into practical allocation decisions. The role also emphasizes teaching teams to plan their compute needs and reason through tradeoffs effectively.
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.
Thinking Machines Lab didn’t post a salary, so this is our estimate from similar listings.
3 days ago