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Research, Vision Expertise

Thinking Machines Lab · San Francisco

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

At a glance

Highlights

  • Advance visual perception and multimodal learning for frontier AI models.
  • Design architectures fusing pixels and text for real-world comprehension.
  • Build datasets and evaluations that teach AI to see and collaborate.

What they offer

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

Curious researcher-engineer fascinated by how vision and language interact, who loves running large-scale experiments and blending theory with hands-on building to teach AI to see.

Requirements

  • Ability to design, run, and analyze experiments thoughtfully with empirical rigor
  • Understanding of machine learning fundamentals, large-scale training and distributed compute
  • Proficiency in Python and familiarity with a deep learning framework
  • Comfortable debugging distributed training and writing scalable code
  • Bachelor's degree or equivalent in Computer Science, Machine Learning, Physics, Mathematics or related field
  • Clarity in communication and explaining complex technical concepts in writing
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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 ↗

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