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Contract Student Worker - Machine Learning Engineer

Zoox

Boston, MAContract$30/hrPosted todayStill listed today

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At a glance

Compensation
$30/hr
Location
Boston, MA
Schedule
Contract
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The contract student worker will collaborate with Zoox’s cross-functional engineering team on machine-learning data and model workflows. The role includes refining datasets, supporting model training and fine-tuning, and validating results against benchmarks before deployment. The program is intended to complement students’ academic experience through ongoing team work, rather than an internship or cohort-based program.

Skills & qualifications

RequiredNice to have

Skills

Python, requiredMachine Learning, requiredComputer Vision, requiredRobotics, requiredC++, nice to have

Qualifications

Currently Enrolled in BS or MS Program, requiredThree-Month Assignment Availability, required20 Hours Per Week Availability, requiredOn-Site Work Availability, required

Full job description

About Zoox

Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets.

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.

We want to be transparent: this is not an internship. The Contract Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment.

Compensation for this role is $30/hour.

This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor.

About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.

How this job compares

Set against the 6,240 open Machine Learning Engineer jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$30/hr
  • US median$35–69/hr110 hourly ranges

This rate, $30/hr, is 42% below the US median midpoint ($52/hr) — in the lowest quarter of Machine Learning Engineer hourly ranges across the US.

Openings
Olive Jobs lists 177 open Machine Learning Engineer jobs in Massachusetts and 6,240 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,158 postings).
Education
2,118 of the 6,240 open Machine Learning Engineer jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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