Machine Learning Engineer - Autotuning

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 equivalent 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

$160,000 - $245,000 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 candidate's 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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.