Research Engineer, AI Evaluation & Metrics

Menlo Ventures; New York (NY); On-site; USD 500,000 - 850,000; Full time

Job summary

Anthropic is seeking Research Engineers to design evaluations that quantify Claude's capabilities and safety, turning abstract notions of intelligence into clear, defendable metrics.

You will build and operate the distributed evaluation platform, run experiments across prompts and checkpoints, and partner with researchers to interpret results for leadership and public audiences.

The role supports scalable, well-characterized AI systems and dashboards that monitor health during training.

Qualifications

• Proficient Python programming for production or research infrastructure.
• Experience building or operating distributed systems at scale.
• Clear written and verbal communication, especially with non-specialists.
• Willingness to work in on-call or production-support capacity.
• Interest in steering AI to be safe and beneficial.

Responsibilities

• Design and run new evaluations of Claude's capabilities — reasoning, agentic behavior, knowledge, safety properties — and produce visualizations that make the results legible to researchers and decision-makers
• Build and harden the distributed eval execution platform so hundreds of evals run reliably against checkpoints throughout production RL training runs
• Own the dashboards researchers and leadership use to monitor model health during training, improving signal‑to‑noise, reducing latency, and making regressions impossible to miss
• Debug anomalous eval results mid‑training‑run, determine whether the cause is a model change or an infrastructure issue, and communicate the answer clearly under time pressure
• Improve the tooling, libraries, and workflows researchers use to implement and iterate on evaluations
• Partner with research teams across the full lifecycle of a new capability — from defining what to measure to interpreting results as training progresses
• Run experiments to characterize how prompting, sampling, and scaffolding choices affect results on internal and industry benchmarks
• Communicate evaluations and their results to internal stakeholders and, where appropriate, external audiences

Skills

Python programming

Distributed systems

Technical communication

Production support

On-call readiness

Societal impact awareness

Education

Bachelor's degree

Job description

Anthropic is seeking Research Engineers to design evaluations that quantify Claude's capabilities and safety, turning abstract notions of intelligence into clear, defendable metrics.

You will build and operate the distributed evaluation platform, run experiments across prompts and checkpoints, and partner with researchers to interpret results for leadership and public audiences.

The role supports scalable, well-characterized AI systems and dashboards that monitor health during training.