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Research, General Agents

Thinking Machines Lab · San Francisco

CHECKED 13H AGO

Frontier labonsite$350k–$475k
Apply on the lab’s site ↗

At a glance

Highlights

  • Advance agentic capabilities of frontier models end to end.
  • Build synthetic data framework used across the research team.
  • Create task environments for tool use and long-horizon workflows.

What they offer

  • Health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support

Ideal candidate

A rigorous engineer-scientist who thrives with autonomy on a small team and cares about turning feedback into usable agentic models.

Requirements

  • Strong engineering skills with ability to contribute code and debug in complex codebases
  • Ability to design, run, and interpret experiments with scientific rigor and clarity
  • Proficiency in Python and familiarity with PyTorch, TensorFlow, or JAX
  • Comfortable debugging distributed training and writing scalable code
  • Bachelor's degree or equivalent in Computer Science, Machine Learning, Physics, Mathematics or related field
  • Clear written communication of complex technical concepts
visa sponsorship
Visa sponsorship available
hiring process
Evergreen role reviewed on an ongoing basis; please avoid applying more than once every 6 months.

Lab profile

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗