Research Engineer, Universes

Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · AI Research & Engineering · listed January 9, 2026

The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$500,000 – $850,000 USD
Requirements listed
8
Length
1,149 words

In the posting’s own words

We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI.

What it asks for · 8

  • Are highly impact-driven — you care about outcomes, not activity
  • Operate with high agency
  • Have good research taste or senior technical experience, demonstrating good judgment in identifying what actually matters in complex problem spaces
  • Can balance research exploration with engineering implementation
  • Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
  • Are comfortable with uncertainty and adapt quickly as the landscape shifts
  • Have strong software engineering skills and can build robust infrastructure
  • Enjoy pair programming (we love to pair!)

Also a plus

  • Have industry experience with large language model training, fine-tuning or evaluation
  • Have industry experience building RL environments, simulation systems, or large-scale ML infrastructure
  • Senior experience in a relevant technical field even if transitioning domains
  • Deep expertise in sandboxing, containerization, VM infrastructure, or distributed systems
  • Published influential work in relevant ML areas

What the job covers

  • Build the next generation of agentic environments
  • Build rigorous evaluations that measure real capability
  • Collaborate across research and infrastructure teams to ship environments into production training
  • Debug and iterate rapidly across research and production ML stacks
  • Contribute to research culture through technical discussions and collaborative problem-solving

Tools and skills named

Models & research
  • Machine learning6×
  • Evaluations3×
  • Fine-tuning2×
  • LLM2×
  • Reinforcement learning
Cloud & infra
  • Distributed systems2×

Words the posting leans on

  • research15×
  • experience8×
  • infrastructure8×
  • training8×
  • build7×
  • systems6×
  • technical6×
  • engineering5×
  • evaluations5×
  • models5×
  • agentic4×
  • industry experience4×
  • pair4×
  • production4×
  • relevant4×
  • senior4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.