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Security Engineer / Research Engineer, RL Security

Anthropic· AI Research & Engineering
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Hybrid (SF), Hybrid (NYC), Hybrid (Seattle)$320k - $405kFull-timePosted 6d ago

About the role

Security-focused engineering role within Anthropic's RL Engineering team, building and securing large-scale reinforcement learning infrastructure and training systems as they scale.

Responsibilities

  • Design, build, and operate security controls for RL training systems and the infrastructure they run on
  • Work across the stack (orchestration, environments, training, inference) wherever the work is needed
  • Review designs and code across the RL stack, find security problems, and fix them
  • Build shared libraries and tooling that other RL engineers and researchers build on
  • Build the observability needed to understand what these systems are doing
  • Work with researchers and performance engineers to make sure security changes preserve training correctness and performance
  • Write clear design documents for what you build

Qualifications

  • Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go
  • Experience designing, building, and operating large-scale distributed systems or security systems in production
  • Strong understanding of security fundamentals
  • Working knowledge of Linux, containers, and cloud infrastructure
  • Experience debugging complex problems across many hosts and services
  • Ability to reason about tradeoffs between security, performance, and reliability
  • Strong written communication, including design documents

Skills

Required:PythonSystems programmingDistributed systemsSecurity fundamentalsLinux / containers / cloudDebugging across hostsDesign docs

Benefits

  • Competitive compensation
  • Generous vacation and parental leave
  • Flexible working hours
  • Optional equity donation matching
  • Lovely office space
Last updated Oct 21, 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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