Research Engineer, Post-Training Model Evaluations

Highlights

• Build evals that measure Claude's reasoning, agents, and safety.
• Harden distributed platform running hundreds of evals at scale.
• Own dashboards that surface model health during training.

What they offer

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

Ideal candidate

A pragmatic engineer who loves turning fuzzy ideas of intelligence into clear metrics and thrives debugging live systems under pressure. You care deeply about safe, beneficial AI and communicating results clearly.

Requirements

• Strong Python programming skills, including production or research infrastructure
• Experience building or operating distributed systems, data pipelines, or other reliable infrastructure at scale
• Clear written and verbal communication, especially when explaining technical results to non-specialists
• Comfort operating in an on-call or production-support capacity when training runs are live
• Care about societal impacts and interest in steering powerful AI to be safe and beneficial
• Bachelor's degree or equivalent combination of education, training, and/or experience