Research Engineer, Model Evaluations
Anthropic · AI Research & Engineering
- Location
- Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY
- Metro
- San Francisco Bay Area, New York City
- Workplace
- Hybrid
- Level
- Unspecified
- Type
- Unspecified
- Pay
- $500K–$850K/yr (estimated from posting text)
- Posted
- 6 months ago
- Source
- Greenhouse
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What the posting covers
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and…
About the role
We're looking for Research Engineers to build the evaluations that tell us — and the world — what Claude can actually do. Your work will turn ambiguous notions of "intelligence" into clear, defensible metrics that researchers, leadership, and the public can…
Key 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…
Minimum qualifications
Strong Python programming skills, including production or research infrastructure Experience building or operating distributed systems, data pipelines, or other infrastructure that needs to be reliable at scale Clear written and verbal communication,…
Preferred qualifications
Hands-on experience using large language models such as Claude, including prompting, sampling, and scaffolding Background in data visualization and a track record of building dashboards people actually trust and use Experience developing robust evaluation…
Representative projects
Stand up a new eval that tests a specific reasoning capability from scratch — define the task, build the dataset, implement the scoring, validate against known signals, and ship a dashboard that makes the result legible Diagnose a mid-training regression: an…
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of…
Logistics
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working…
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work…
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to…
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