Senior Machine Learning Engineer Autotuning

Zoox

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profile Job Location:

Foster, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 21-08-2025
Vacancies: 1 Vacancy

Job Summary

Zoox is looking for machine learning engineers to help build systems to evaluate and improve autonomous driving behaviors by learning from expert human drivers. Our team develops core technologies to benchmark our vehicles against expert human driving and tune driving software toward more human-like behaviors. These systems are critical for ensuring safe comfortable and natural driving experiences for our riders.

In this role you will:

    • Design and build ML systems that learn from expert human driving data to model human-like driving behaviors.
    • Develop evaluation methods that measure the human-likeness of autonomous driving.
    • Develop AutoML systems to optimize autonomous driving software and improve alignment with expert human driving
    • Work with large-scale datasets and distributed training pipelines to deliver production-ready ML solutions.
    • Collaborate cross-functionally with planner simulation and infrastructure teams to drive measurable improvements in vehicle behavior.

Qualifications:

    • BS/MS/PhD in Machine Learning Computer Science or related field and 8 years of experience
    • Proficiency in Python and PyTorch with experience building ML systems
    • Background in training evaluating and deploying ML models
    • Comfortable working with large datasets and distributed compute platforms
$242000 - $290000 a year
Base Salary Range

There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


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:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior IC

Zoox is looking for machine learning engineers to help build systems to evaluate and improve autonomous driving behaviors by learning from expert human drivers. Our team develops core technologies to benchmark our vehicles against expert human driving and tune driving software toward more human-like...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

About Company

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We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.

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