# Software Engineer, ML Platform

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** ML Engineering
**Salary:** $182k – $257k/yr
**Experience:** 2+ years
**Skills:** PyTorch, deepspeed, JAX, Ray, AWS, ML Infrastructure, Distributed Training, model lifecycle management
**Posted:** 2026-07-20

> Build and operate scalable ML training frameworks, distributed infrastructure, and model lifecycle tools to power foundational models, reinforcement learning, and other ML use cases across Zoox's autonomous driving teams. Requires 2+ years ML infrastructure experience with PyTorch, DeepSpeed, JAX, Ray and AWS.

## Job Description

## Responsibilities
- Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
- Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
- Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.

## Requirements
- 2+ years of ML infrastructure experience.
- Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
- Experience working with cloud providers like AWS.

## Nice-to-Haves
- Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
- Experience with building model lifecycle management tools and experimentation.

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**Apply:** https://hotfix.jobs/jobs/ecb0904e-a0cc-4205-bce7-00148248462c
**Canonical:** https://hotfix.jobs/jobs/ecb0904e-a0cc-4205-bce7-00148248462c