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San Francisco, California, United States
Source: Thinking Machines Lab careers · View original posting
From Thinking Machines Lab's posting. “We” and “our” refer to the employer.
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.
Compute allocation is a technical judgment problem. Research teams have different goals, workloads have different requirements, and available resources rarely match every need at once. Progress depends on understanding those constraints and finding ways to accomplish more within them.
In this role, you’ll own compute allocation and help us make better use of our supercomputing resources. You’ll work closely with researchers and infrastructure engineers to understand demand, evaluate competing needs, and translate research priorities into practical allocation decisions. You’ll investigate where constraints limit progress and help teams find workable alternatives.
Teaching is central to this work. You’ll help researchers plan their compute needs, understand allocation decisions, and reason through tradeoffs themselves. By working through real workloads, explaining your decisions, and developing useful tools and guidance, you’ll make specialized knowledge available to more of the team.
This role is a good fit if you enjoy working deeply with technical constraints, making decisions under uncertainty, and helping others develop their judgment.
San Francisco, California.
Compensation
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We support visa sponsorship and work with candidates through the process.
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