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ML/Research Engineer, Safeguards

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA), Hybrid (New York City, NY)$350k - $500kFull-timePosted 11mo ago

About the role

Role focused on detecting and mitigating misuse of Anthropic's AI systems by building classifiers, monitoring for harms, evaluating agentic safety, and researching red-teaming and adversarial robustness.

Responsibilities

  • Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on
  • Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts
  • Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks
  • Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse

Qualifications

  • 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry
  • Proficiency in Python and experience building ML systems
  • Comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems
  • Concern for AI misuse risks and interest in mitigating them
  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Skills

Required:PythonML system designCross-functional communicationResearch and experimentation

Benefits

  • Competitive compensation
  • Generous vacation and parental leave
  • Flexible working hours
  • Optional equity donation matching
  • Lovely office space in San Francisco or New York City (hybrid/work locations as described)
Last updated Jul 8, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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