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Scientific Lead, Embedded Assessments

Transluce · San Francisco, United States

Research instituteonsite$400k–$650k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead 3-5 evaluators embedded at a frontier AI lab assessing its safety stack.
  • Design experiments to investigate unexamined risks and failure modes.
  • Own public reports on embedded assessments informing AI policy and oversight.

Ideal candidate

A mission-driven scientist with a strong research track record who thrives leading small teams in ambiguous, fast-paced settings and cares deeply about rigorous AI evaluation and public-interest oversight.

Requirements

  • Excellent track record of scientific research, ideally adjacent to AI alignment
  • Experience building AI evaluations such as benchmarks, eval suites, or red-teaming
  • Experience leading small, talented research teams in scrappy environments
  • Ability to deliver high-quality results under uncertainty and tight deadlines
  • Strong technical writing and ability to communicate to non-technical and public audiences
  • Ability to quickly absorb technical context from code and artifacts to make progress
visa sponsorship
Open to sponsoring international visas

Lab profile

About Transluce

Non-profit research lab building public tech stack for AI evaluation and oversight.

What they build

  • Docent agent-analysis platform
  • Behavioral evaluations of frontier AI systems
  • AI-backed tools for understanding AI

Known for

  • Evaluation of emergent high-stakes AI behaviors
  • Scalable AI oversight and debugging
  • Work shaping AI development and governance

Key facts

  • Independent non-profit research lab
More about Transluce →
Apply on the lab’s site ↗

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