Research Scientist, Frontier Risk Evaluations

Scale

San Francisco, CA, US
Base: $216,000 - $270,000 usd; equity: included ba...
On-site
Practical experience conducting technical research
Building and instrumenting ml pipelines
Track record of published research in machine learning
The role involves designing and creating evaluation measures and harnesses to measure risks posed by frontier AI systems

Job Summary

  • The role involves designing and creating evaluation measures and harnesses to measure risks posed by frontier AI systems.
  • Candidates must have a track record of published research in machine learning, particularly in generative AI.
  • Compensation includes base salary ranging from $216,000 to $270,000 USD plus equity and comprehensive benefits.

Matching Summary

The role involves designing and creating evaluation measures and harnesses to measure risks posed by frontier AI systems.

Salary

Base: $216,000 - $270,000 USD; Equity: Included based on Board approval; Benefits: Comprehensive health, dental, vision, retirement, stipend, PTO

Skills & Requirements

Must-have

  • Practical experience conducting technical research
  • Building and instrumenting ML pipelines
  • Track record of published research in machine learning
  • Three years of experience addressing sophisticated ML problems

Nice-to-have

  • Experience crafting evaluations and benchmarks
  • Background in data science roles related to LLM technologies
  • Experience with red-teaming or adversarial testing
  • Familiarity with AI safety policy frameworks

Key Requirements

  • At least three years of experience in ML
  • Published research in machine learning required
  • Strong written and verbal communication skills

Work Rights

Not specified

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