Research Engineer Performance Engineer RL Distributed Systems

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design, build, and operate systems for reinforcement-learning training, sampling, and environment execution. You will improve scheduling, data movement, storage, networking, fault tolerance, autoscaling, observability, and automation while preserving training correctness.

Requirements

  • Python
  • Rust, C++, or Go
  • Distributed systems
  • Production systems
  • Consistency
  • Coordination
  • Consensus
  • Failure recovery
  • Throughput analysis
  • Latency analysis
  • Resource cost analysis
  • Compute
  • Memory
  • Storage
  • Networking
  • Debugging
  • Design documentation
  • Incident documentation
  • Machine learning infrastructure
  • Container orchestration
  • Kubernetes
  • Virtualization
  • High-performance networking
  • RDMA
  • Collective communication
  • Observability
  • Automated remediation
  • Trio
  • asyncio
  • Reinforcement learning
  • Large language model training

Responsibilities

  • Design, build, and operate distributed systems for reinforcement learning at scale
  • Remove bottlenecks in scheduling, data movement, storage, networking, and coordination
  • Build failure detection, isolation, and recovery systems
  • Design resource management and autoscaling systems
  • Build observability for run performance and unexpected results
  • Build automation and safe operational interfaces
  • Partner with researchers and performance engineers to preserve training correctness
  • Eliminate failure classes through incident review, testing, and redesign
  • Write design documents

Benefits

  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours
Research Engineer Performance Engineer RL Distributed Systems at Anthropic | JobStash