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Staff Software Engineer, Environments Infrastructure

Menlo Ventures Portfolio

New York, NY · full time · Staff

$405,000 – $605,000

Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role leads infrastructure design for reinforcement learning environments at Anthropic, building the frameworks and APIs that let research teams train AI systems faster. It suits experienced systems engineers with deep Python expertise and a track record of designing abstractions that other teams adopt and build upon.

Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • Deep expertise in Python including static typing, async, and concurrency patterns
  • Strong taste in API and framework design with demonstrated adoption by other engineers
  • Experience designing or operating stateful concurrent or distributed systems with attention to failure modes, retries, idempotency, and consistency
  • Habit of measurement and verification before conclusions
  • Experience working productively in large, evolving, or research-style codebases
  • Strong written and verbal communication with varied engineering backgrounds and comfort with ambiguity

Nice to have

  • Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
  • Experience building agent frameworks, orchestration engines, or multi-agent systems including checkpoint/restore and coordination
  • Experience using AI coding tools on correctness-critical code with good judgment about delegation and verification
  • Experience building client libraries or SDKs on sandboxed, containerized, or remote execution platforms
  • Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
  • Experience designing serialization schemes, plugin systems, or extensible class hierarchies
  • Experience embedding with or consulting for other teams, or prior experience as a technical lead

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