Senior Data Scientist

We are seeking a Senior Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system by building the metrics, datasets, and analyses that tell us how perception performance translates into driving behavior. As a senior member of the team, you will own the evaluation strategy for major perception capabilities from start to finish, partnering with perception and ML engineers, systems and safety engineers, and autonomy leadership to decide what to measure, how to measure it with statistical rigor, and what the results mean for release decisions.

Your work will directly shape how Zoox safely and efficiently ships perception improvements to our fleet, connecting model-level performance to end-to-end system behavior. You will also help raise the bar for the team by mentoring other data scientists and setting technical direction for how we validate perception.

In this role, you will...

• Lead the design of metrics and evaluation frameworks for new perception capabilities, partnering with perception engineers early in model development to define what "ready to ship" means and how it connects to end-to-end driving behavior.

• Drive cross-team validation projects, bringing together perception, systems, safety, and autonomy stakeholders to build consensus on metrics, evaluation datasets, and release criteria.

• Develop rigorous statistical methods for uncertainty quantification, error estimation, and error propagation (frequentist, bootstrap, and Bayesian) so teams know when changes in performance are real.

• Build evaluation datasets and analyze large-scale, highly geospatial fleet and simulation data to uncover perception failure modes, then turn findings into clear recommendations for engineering and executive leadership.

• Mentor and guide a small group of data scientists by defining tasks, reviewing their work, and raising the team's technical bar.

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.

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.

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