Researcher, Frontier Risk Mitigations

Skills

About the Role

You will develop novel safety mitigations for frontier models, applying techniques from interpretability, control, and alignment. You will identify emerging AI safety risks, build and refine evaluations, set research directions, contribute to best practices, and design red-teaming pipelines to test the robustness of safety systems.

Requirements

• 2+ years of experience in AI safety, such as RLHF, human-AI collaboration, interpretability, or control
• Ph.D. or other degree in computer science, machine learning, or a related field
• Experience with large-scale AI systems
• 4+ years of research engineering experience
• Proficiency in Python or similar languages

Responsibilities

• Identify emerging AI safety risks and new methodologies to mitigate them
• Build and continuously refine evaluations that assess these risks
• Set research directions and strategies to make AI systems safer, more aligned, and more robust
• Contribute to best-practice guidelines for AI safety
• Evaluate and design red-teaming pipelines to examine end-to-end robustness of safety systems

Benefits

• Equity
• Medical, dental, and vision insurance with employer HSA contributions
• Pre-tax Health FSA, Dependent Care FSA, and commuter accounts
• 401(k) with employer match
• Paid parental leave up to 24 weeks for birth parents and 20 weeks for non-birthing parents
• Paid medical and caregiver leave up to 8 weeks
• Flexible PTO
• 13+ paid company holidays and company office closures
• Paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation support
• Charitable donation matching and wellness stipends
• Performance-related bonus