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Machine Learning Engineer - Vision Foundation Models at Zoox - ApplyBlast

Machine Learning Engineer - Vision Foundation Models

Zoox

2 days ago

3.5 on Glassdoor

Foster City, California, United States

Hybrid

Full Time

Senior

0 applicants

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About this role

Zoox is seeking a Machine Learning Engineer to design, train, and evaluate vision models for autonomous vehicles, focusing on understanding passengers, objects, and behaviors. The role involves owning the full machine learning lifecycle, from data curation and model training to deployment under real-time constraints. This position requires deep expertise in computer vision, deep learning, and foundation models to ensure reliable performance in live operations.

Responsibilities

Design, train, and evaluate vision models for passenger and object understanding
Own the full machine learning lifecycle including data curation and model deployment
Deploy models under real-time and compute constraints for onboard perception systems

Skills

Qualifications

MS in Computer ScienceMS in Machine LearningMS in Computer VisionPhD in Computer SciencePhD in Machine Learning

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.