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Training: ML Framework Engineer

San Francisco💼 Full-time🗓 2025-10-29 → 2026-07-31

Core

Designing, implementing, and optimizing the core distributed machine-learning training runtime to accelerate research experiments and enable frontier-scale model runs.

Role type

Senior IC ML Framework Engineer (distributed systems)

Builds

High-performance, fault-tolerant training frameworks and distributed process management for large-scale GPU runs.

Domain

AI research infrastructure / Distributed systems / High-performance computing

Deliverable

production ML models

Required skills

Python, distributed systems, performance optimization, profiling, software engineering, supercomputer architecture

Preferred skills

experience with small-scale ML experiments, system design, reducing complexity

Technologies

Python, GPU clusters

Responsibilities

Apply latest techniques to achieve hardware efficiency for training runs, profile and optimize the training framework, work with researchers to enable next-generation model development

Seniority

Senior, hands-on IC

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