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Software Engineer, Research Tools

Thinking Machines Lab · San Francisco · New York

CHECKED 11H AGO

Frontier labonsite$300k–$350k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own the internal platform researchers use daily to monitor training and evals.
  • Build evaluation frameworks, training systems, and trajectory visualization tools.
  • Turn researchers' biggest bottlenecks into reliable, delightful systems.

What they offer

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

Ideal candidate

A product-minded full-stack generalist with 2+ years experience who loves partnering with researchers. You have strong judgment, thrive in small teams, and care about building delightful tools that compound research velocity.

Requirements

  • Bachelor's degree or equivalent practical experience in computer science, engineering, machine learning, or related field
  • 2 years of post-grad work experience as a software engineer or ML engineer, exclusive of internships
  • Strong software engineering fundamentals and experience building reliable, maintainable systems
  • Proficiency in at least one backend programming language (primarily Python and Rust)
  • Experience with databases, data warehouses (Clickhouse), caching systems such as Redis, and other data infra
  • Comfort working across the stack and owning projects from discovery through deployment and operation
  • Experience collaborating with cross-functional partners and subject-matter experts
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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 ↗