Data Scientist - Perception Verification and Validation

Data Scientist - Perception Verification and Validation

We are seeking a highly skilled and experienced 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. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system.

The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall perception stack and on end‑to‑end system behavior.

In this role, you will

• Define key performance metrics that will help perception engineers measure the impact of new features on the perception stack and on end‑to‑end system behavior.

• Create and maintain datasets used to evaluate the perception stack and end‑to‑end driving performance.

• Analyze large‑scale metric results to identify patterns and insights about perception failure modes, then present results and insights to leadership.

• Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.

Qualifications

• Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field.

• Proficient in using data query languages (SQL and/or Spark/Scala) to build complex, efficient queries at scale and in Python to build production‑quality code.

• Basic experience with autonomous driving, safety‑critical systems, or computer vision systems.

• Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.

• Background in statistical modeling and analysis, including experience making data‑driven decisions that connect point and uncertainty estimates to business impact.

Bonus Qualifications

• Skilled at using AI tools to improve development efficiency and quality.

• Experience with experiment design and statistical comparisons (A/B testing, parametric/non‑parametric statistics, etc.).

• Experience analyzing geospatial data.

Compensation

$167,000 – $228,000 a year. Compensation includes salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the package. The salary range applies only to base pay; total compensation varies by location and level.

Benefits

Zoox offers a comprehensive benefits package that includes paid time off (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. We’re looking for top talent that shares our passion and wants to be part of a fast‑moving, 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.

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.

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.

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