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Anthropic
Security Engineer / Research Engineer, RL Security
San Francisco, CA, New York City + more · Hybrid · Full time · Mid level
$320k–$405k / year
About the role
Work on securing large-scale reinforcement learning systems used for AI training and inference. Collaborate with engineers and researchers to maintain security without sacrificing performance.
What you’ll do
• Design and operate security controls for RL training systems. • Work across orchestration, environments, training, and inference stacks. • Review designs and code to find and fix security issues. • Build shared libraries and tooling for RL engineers. • Develop observability to monitor system behavior.
What you’ll bring
• Strong software engineering in Python and systems languages. • Experience with large-scale distributed or security systems. • Strong understanding of security fundamentals. • Knowledge of Linux, containers, and cloud infrastructure. • Ability to debug complex multi-host problems.
Life at Anthropic
Competitive compensation and benefits, equity donation matching, generous vacation and parental leave, flexible hours, and collaborative office spaces.
About Anthropic
Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.