Contract Student Worker - Machine Learning Engineer

About Our Contract Student Worker Program

Zoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters.

Role Overview

In this role, you will collaborate closely with the cross-functional engineering team to prepare and refine raw datasets, ensuring high data quality and pipeline integrity. You will assist in training and fine-tuning machine learning models using industry-standard frameworks and modern architectures. Additionally, you will validate model performance against rigorous benchmarks to ensure production readiness, reliability, and accuracy before deployment.

Responsibilities

• Review data labeling quality
• Help other engineers on model training experiments
• Validate the model results with detailed triages

Required Qualifications

• Python proficiency
• Machine learning
• Computer vision
• Robotics

Bonus Qualifications

C++

Program Requirements

• Currently enrolled in a B.S. or M.S. program in a relevant discipline.
• Available to commit to a minimum three-month assignment.
• Able to commit a minimum of 20 hours per week.
• Able to work on-site at one of our office locations.
• Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.

A Final Note

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.