Staff+ Software Engineer, Safeguards Evals

Anthropic · San Francisco, CA | New York City, NY · Safeguards (Trust & Safety) · listed June 9, 2026

The shape of it

Seniority
Staff
Experience asked
8+ years
Where
Hybrid
Stated pay
$320,000 – $485,000 USD
Requirements listed
7
Length
1,167 words

In the posting’s own words

This role builds the methods and infrastructure that make them so. Sitting at the intersection of applied ML research and engineering, you'll design experiments to improve how we evaluate both model behavior and the agentic systems that govern it, build datasets that represent real abuse rather than clean approximations of it, and ship those methods into the pipelines that gate model training, agent changes, and launch decisions.

What it asks for · 7

  • 8+ years of industry software engineering or ML engineering experience
  • Experience building and maintaining data pipelines
  • Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning
  • Strong data analysis skills — you can draw reliable insights from large datasets
  • Ability to move fluidly between research prototyping and production-quality code
  • Ability to translate ambiguous problems into concrete, testable experiments
  • Care deeply about AI safety and want your work to have real impact

Also a plus

  • Expertise in building or contributing to LLM or agent evaluation frameworks, benchmarks, or automated grading systems
  • Extensive experience in trust and safety, content moderation, or abuse detection systems
  • Experience in red teaming, adversarial testing, or jailbreak research on AI systems
  • Experience with synthetic data generation or data augmentation
  • Experience with distributed systems or large-scale data processing
  • Experience with prompt engineering or building LLM-powered applications

Tools and skills named

Models & research
  • Evaluations6×
  • LLM3×
  • Machine learning2×
  • Prompt engineering
Cloud & infra
  • Distributed systems
Data
  • Data pipelines
Product & design
  • Prototyping
Ways of working
  • Testing

Words the posting leans on

  • evaluation10×
  • model9×
  • experience8×
  • systems8×
  • research7×
  • agent6×
  • data6×
  • engineering5×
  • agentic4×
  • behavior4×
  • build4×
  • datasets4×
  • harm4×
  • investigation4×
  • misuse4×
  • real4×

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 24, 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.