AI Research Scientist

TTN Talent

San Francisco (CA)

On-site

USD 405,000 - 495,000

Full time

2 days ago
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Benefits offered by this job

Equity

Job summary

TTN Talent is seeking a hands-on AI safety researcher to help pioneer a new evaluation direction for frontier models. You will design benchmarks and environments to measure advanced model capabilities and misaligned behavior, working closely with engineers to translate research into reproducible evaluations used by top AI organisations.

The role is based on-site in San Francisco, five days per week, with salary up to $450,000 plus equity.

Qualifications

  • Recent hands-on research experience in AI safety and alignment for frontier models.
  • Contributions to recognised benchmarks, published research or public evaluations.
  • Hands-on experience with reinforcement learning, post-training or frontier-model evaluations.
  • Experience with evaluating areas like reward hacking, deception, sabotage or AI R&D capability.
  • Ability to design rigorous benchmarks and environments and work with engineers to create reproducible evaluations.

Responsibilities

  • Design benchmarks and environments that measure advanced model capabilities and misaligned behaviour.
  • Collaborate with engineers to turn research into evaluations used by leading AI organisations.
  • Own the new safety evaluation direction from concept to usable assessments, on-site in San Francisco.

Skills

AI safety research
Frontier models
Reinforcement learning
Benchmark design
Evaluation development

Job description

  • Do you have recent hands-on research experience in AI safety and alignment for frontier models?
  • Have you made meaningful contributions to recognised benchmarks, published research or public evaluations?
  • Do you have hands-on experience with reinforcement learning, post-training or frontier-model evaluations?
  • Have you worked on areas such as reward hacking, deception, sabotage, self-improvement or AI R&D capability evaluation?
  • Can you design rigorous benchmarks, identify weaknesses in evaluations and work with engineers to turn research into reproducible environments?

If you answer yes to the above, then this confidential role could be the one for you.

This is a rare opportunity to join an early-stage applied AI research company and establish a new safety evaluation direction focused on frontier models. The successful candidate will design benchmarks and environments that measure advanced model capabilities and misaligned behaviour, while working closely with engineers to turn research into evaluations used by leading AI organisations. The role is based on-site in San Francisco, 5 days per week. Salary on offer is up to $450,000 plus equity.

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