Staff Software Engineer, AI Safety

Highlights

• Build shared software to understand and reduce societal risks from scientific AI.
• Turn threat modeling and red-teaming needs into reliable evaluation tools.
• Make safety findings traceable with reproducible experiment records.

What they offer

• Competitive base compensation with bonus potential
• Generous early-stage equity
• Medical, dental, and vision coverage (U.S.)
• Employer-paid life and disability insurance
• Flexible time off with company-wide holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits

Ideal candidate

A high-agency builder who thrives in ambiguity and cares deeply about scientific AI safety. You enjoy partnering with researchers to turn evolving workflows into trusted tools.

Requirements

• Track record of independently delivering and maintaining production software, including projects with ambiguous or changing requirements
• Strong Python and backend engineering skills, with experience designing APIs, working with databases and building dependable data or execution pipelines
• Experience translating needs of researchers, domain experts or other technical users into usable tools, and comfort working across services and interfaces
• Sound engineering judgment in system design, testing and debugging, including practical decisions about reliability, performance and complexity
• Engineering experience in AI research, AI safety, scientific computing or other settings with rapidly evolving experimental workflows
• Clear communication and an interest in scientific AI safety, with ability to understand research context and make informed engineering decisions