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Engineering Manager, ML

San Francisco💼 Full-time🗓 2026-07-09 → 2026-09-26

Core

Lead a team building infrastructure for training, testing, and evaluating large-scale ML models to automate coding.

Role type

Engineering Manager, ML Infrastructure

Builds

Rollout infrastructure for RL experiments, evaluation pipelines, and sandboxed training environments

Domain

AI/ML Infrastructure, Automated Coding Tools

Deliverable

production ML models | infrastructure

Required skills

ML infrastructure leadership, distributed systems fundamentals, hands-on coding and debugging, team hiring and development, cross-functional collaboration with researchers, ambiguity navigation

Preferred skills

RL training infrastructure experience, eval framework development, simulated environment construction

Technologies

RL training frameworks, evaluation pipelines, sandboxed environments

Responsibilities

Set technical direction for model training and evaluation at scale, debug infrastructure and model behavior issues, partner with researchers on latency/quality/cost tradeoffs, build reproducible training environments, hire and mentor engineering talent

Seniority

Manager, hands-on IC with team leadership

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