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Staff+ Software Engineer, Safeguards Evals

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Staff+ Software Engineer, Safeguards Evals in USA new

  • Anthropic
  • Full time
  • Email
  • Seattle, WA

Responsibilities

  • Design and run experiments to improve evaluation quality, test-data representativeness, grading accuracy, and evaluation coverage.
  • Build and own an evaluation harness for an agentic investigation system, including metrics, test cases, grading approaches, and end-to-end performance measurement.
  • Construct reinforcement-learning environments to improve Claude's safety investigation capabilities.
  • Create evaluation datasets representing real-world misuse using real traffic patterns and synthetic generation.
  • Collaborate with Policy and Enforcement to translate observed harm patterns into measurable evaluations.
  • Ship evaluation methods into regression and release pipelines used during model training, agent changes, prompt updates, model upgrades, and post-launch operations.
  • Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support.
  • Surface evaluation findings to research and training teams to drive model improvements.

Requirements

  • Experience building and maintaining data pipelines.
  • Experience working with LLMs and understanding their capabilities and failure modes, especially agentic systems with tool use and multi-step reasoning.
  • Strong data analysis skills and the ability to draw reliable insights from large datasets.
  • Ability to move between research prototyping and production-quality code.
  • Ability to translate ambiguous problems into concrete, testable experiments.
  • Strong interest in AI safety and meaningful societal impact.
  • Preferred: 8+ years of industry software engineering or ML engineering experience.
  • Preferred: expertise with LLM or agent evaluation frameworks, benchmarks, or automated grading systems.
  • Preferred: extensive experience in trust and safety, content moderation, abuse detection, red teaming, adversarial testing, or jailbreak research.
  • Preferred: experience with synthetic data generation, data augmentation, distributed systems, large-scale data processing, prompt engineering, or LLM-powered applications.
  • Bachelor's degree or an equivalent combination of education, training, and/or experience in a relevant field.

Benefits

  • Annual base salary range of $320,000-$485,000 USD.
  • Hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
  • Visa sponsorship is offered with reasonable efforts made after an offer, supported by an immigration lawyer.
  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.

Salary: $320k - $485k/yr

Anthropic

Anthropic builds AI systems that are reliable, interpretable, and steerable, with a commitment to ensuring their safety and benefit to users and society. Our work is driven by a dedicated team of researchers, engineers, and policy experts focused on the development of beneficial AI solutions.

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