Machine Learning Infrastructure Engineer, Safeguards Research

Highlights

• Own the infrastructure behind misuse detection built on model internals.
• Take research detection workflows from experiments to production jobs.
• Work directly supports Responsible Scaling Policy commitments for safe AI.

What they offer

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours

Ideal candidate

A systems-minded engineer who loves building trusted tooling for researchers and thrives across research-to-production. Collaborative debugger motivated by mitigating AI misuse and keeping fast, reliable experimentation loops.

Requirements

• Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python
• Experience building and operating data-intensive or distributed systems in production
• Experience building tooling or infrastructure that other engineers or researchers use as a dependency
• Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems
• Ability to debug performance and correctness problems across an unfamiliar stack
• Strong written and verbal communication skills, and a collaborative approach to technical decisions