Research Scientist, Safety Post Training

Scale Labs

San Francisco, CA, US
Base: $216,000 - $270,000 usd; equity: included ba...
On-site
Experience with post-training and rl techniques
Track record of published research in machine learning
At least three years of experience addressing sophisticated ml problems
The role involves developing and applying post-training methods and interpretability techniques to make frontier AI systems safer

Job Summary

  • The role involves developing and applying post-training methods and interpretability techniques to make frontier AI systems safer.
  • Candidates will design pipelines to study how training choices affect model safety, robustness, and alignment properties.
  • Compensation includes a base salary range of $216,000 to $270,000 USD along with equity and comprehensive benefits.

Matching Summary

The role involves developing and applying post-training methods and interpretability techniques to make frontier AI systems safer.

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

  • Experience with post-training and RL techniques
  • Track record of published research in machine learning
  • At least three years of experience addressing sophisticated ML problems

Nice-to-have

  • Experience with mechanistic interpretability or probing
  • Familiarity with red-teaming or adversarial evaluation
  • Experience studying failure modes like reward hacking

Key Requirements

  • Three years of experience in ML research or product development
  • Published research in generative AI
  • Strong written and verbal communication skills

Work Rights

Not specified

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