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Research Engineer, Discovery

Anthropic· AI Research & Engineering
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San Francisco, CA$350k - $850kFull-timePosted 11mo ago

About the role

Research Engineer role at Anthropic focusing on end-to-end infrastructure for AI scientist training, evaluation, and deployment, with emphasis on large-scale distributed systems, performance optimization, and scalable data pipelines to support scientific AGI efforts.

Responsibilities

  • Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
  • Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
  • Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.
  • Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
  • Collaborate to translate experimental requirements into production-ready infrastructure
  • Develop large scale data pipelines to handle advanced language model training requirements
  • Optimize large scale training and inference pipelines for stable and efficient reinforcement learning

Qualifications

  • 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
  • Strong communicator and collaborative
  • Deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
  • Experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
  • Proven track record of building large-scale data pipelines and distributed storage systems
  • Excel at diagnosing and resolving complex infrastructure challenges in production environments
  • Can work effectively across the full ML stack from data pipelines to performance optimization
  • Experience collaborating with other researchers to scale experimental ideas
  • Thrive in fast-paced environments and can rapidly iterate from experimentation to production

Skills

Required:Distributed systemsPerformance optimizationContainerization (Docker, Kubernetes)Data pipelines

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
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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