Researcher, Interpretability

Skills

About the Role

You will develop and carry out a research plan in mechanistic interpretability, working closely with a motivated team. You will publish research on understanding deep network representations, build infrastructure for studying model internals at scale, collaborate across teams, and guide research toward usefulness and scalability.

Requirements

• Experience in AI safety, mechanistic interpretability, or related disciplines
• Ph.D. or research experience in computer science, machine learning, or a related field
• Experience with large-scale AI systems
• 2+ years of research engineering experience
• Proficiency in Python or similar languages

Responsibilities

• Develop and publish research on techniques for understanding representations of deep networks
• Engineer infrastructure for studying model internals at scale
• Collaborate across teams on projects
• Guide research directions toward demonstrable usefulness and long-term scalability

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