MP
$405,000 – $625,000
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
A staff-level engineering role building reinforcement learning infrastructure for Claude's coding abilities, working across research teams to design production systems, frameworks, and tools that scale agentic coding environments. Suited to experienced Python architects with a track record of designing APIs others adopt and the ability to anticipate and prevent failure modes in complex, evolving codebases.
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 and safe async/concurrency patterns
- Track record designing intuitive, safe APIs or frameworks adopted by other engineers or teams
- Experience working productively in large, evolving, or research-style codebases you did not originally write
- Ability to anticipate and prevent failure modes, especially silent ones, through system design and testing
- Strong written and verbal communication skills
- Comfortable scoping work from loosely defined problems and driving to maintainable outcomes
Nice to have
- Experience building infrastructure or tooling for machine learning or reinforcement learning research
- Familiarity with reinforcement learning concepts or agentic systems
- Experience building or operating large-scale distributed systems
- Experience building client libraries or SDKs for sandboxed or remote execution platforms
- Experience with large-scale data processing or dataset lifecycle management
- Experience designing plugin systems or extensible architectures
- Experience embedding with or consulting for other teams and handing off systems
- Experience defining code standards or static verification approaches across teams
- Prior experience as a technical lead or setting engineering standards
- Prior experience maintaining an open source project