← All roles

Research Scientist, Safety Post Training

Scale AI· Research
Apply on company site
Hybrid (San Francisco, CA), Hybrid (New York, NY)$216k - $270k + equityfull-timePosted 5mo ago

About the role

Research Scientist focused on Safety Post-Training to develop post-training methods and interpretability techniques for frontier AI systems, translating findings into safety standards, evaluation benchmarks, and best practices in collaboration with policymakers, engineers, and researchers.

Responsibilities

  • - Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties;
  • - Develop interpretability-informed evaluations that reveal unsafe, deceptive, or undesirable model behaviors, and guide mitigations;
  • - Collaborate with policymakers, engineers, and researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices

Qualifications

  • - Commitment to mission of safe, secure, and trustworthy AI deployments in frontier AI context;
  • - Experience with post-training and RL techniques (e.g., RLHF, DPO, GRPO);
  • - Track record of published ML research, especially in generative AI;
  • - At least three years of experience addressing sophisticated ML problems in research or product development;
  • - Strong written and verbal communication skills for cross-functional work

Skills

Required:Post-training methodsReinforcement learning from human feedback (RLHF)InterpretabilityCommunication

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • potential commuter stipend
Last updated Jul 8, 2026. Interested? Apply on the company site.
Scale AI logo

About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

artificial-intelligenceliquid-ai-recruiting-targetmachine-learning
Company profileWebsite

More open roles at Scale AI