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Member of Technical Staff - Research, AI Safety

Vals AI· Engineering & Research
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San Francisco$130k - $185kFull-timePosted today

About the role

Researcher to design and build AI safety benchmarks to evaluate misalignment in frontier models and agents, leading development of benchmarks and infrastructure to assess real-world misbehavior and safety risks in LLMs and multi-agent systems.

Responsibilities

  • Design and develop novel, high-impact benchmarks and environments that assess real-world (mis)behavior, including reward hacking, scheming, deception and other misaligned behavior, in frontier models and agents (including multi-agent systems)
  • Conduct research to ensure our benchmarks are valid, reliable, and meaningful
  • Collaborate with foundation model labs and enterprises to understand evolving safety evaluation needs
  • Analyze model behavior across benchmarks and articulate results
  • Publish research findings and contribute to the broader safety and evaluation research communities
  • Stay current with the latest developments in LLM capabilities and alignment evaluation methodologies

Qualifications

  • Safety experience: Substantial, hands-on work in safety evaluations, monitorability, scheming, deception, or multi-agent safety. You may have worked on an AI safety or alignment team, or done a PhD focused on AI safety. You've published safety research, perhaps papers at leading conferences, or high-quality write-ups.
  • Deep ML/AI background: An understanding of neural networks and the fundamentals behind the model training process.
  • Strong engineering: Excellent coding skills and the ability to design and build complex evaluation environments yourself, mostly in Python.
  • Communication: Ability to clearly communicate complex research ideas to both technical and non-technical audiences.
  • Location: We are an in-person team in San Francisco and will support relocation or transportation as needed.

Skills

Required:Safety evaluationsNeural networks and ML fundamentalsPythonCommunication

Benefits

  • Relocation and transportation support
  • Health/dental insurance coverage
  • Lunch and dinner provided, free snacks/coffee/drinks
  • Unlimited PTO
  • $1,500 housing stipend (within one-mile radius)
  • Collaborate with leading AI labs and work on the front lines of AI development and evaluations
  • Opportunity to publish and present your work
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Vals AI

Private, domain-specific benchmarks in legal, tax, and finance.

financelawsoftwarehealthcarebenchmarksVals IndexSWE-benchTaxEval
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