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ML Platform Engineer at Zoox - ApplyBlast

ML Platform Engineer

Zoox

3 days ago

3.5 on Glassdoor

Foster City, California, United States

Onsite

Full Time

Senior

0 applicants

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About this role

The ML Platform Engineer at Zoox drives performance optimization initiatives for large-scale foundation models, VLMs, and VLAs to enhance the efficiency of autonomous driving systems. This role involves collaborating with autonomy teams to implement cutting-edge distributed training techniques and optimize model serving infrastructure. The position requires leading technical strategy and mentoring engineers to advance ML practices within the organization.

Responsibilities

Lead design and implementation of training performance optimizations for large-scale foundation models
Own technical strategy and roadmap for RL framework and performance optimization
Drive profiling and root-cause analysis of throughput bottlenecks across the compute stack

Skills

About Zoox

zoox.com

Headquarters

Foster City, California, United States

Company Size

1001-5000 employees

Founded

2014

View Profile

Zoox designs and builds purpose‑built, bidirectional electric robotaxis and the full autonomy stack — hardware, sensors, and software — to enable on‑demand, driverless ride‑hailing. The company takes a safety‑first, rider‑focused approach, engineering vehicles from the ground up for urban, zero‑emission mobility rather than adapting passenger cars. Acquired by Amazon in 2020, Zoox is working to commercialize a complete autonomous mobility service that rethinks ride‑hailing for riders instead of drivers.