Data Scientist, Autonomy Behavior Monitoring

Number of employees

4100

Foster City, CA

Posted on: 2026-06-05

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.


Zoox is building the world's first purpose-built robotaxi, and our ability to scale safely to new geographies and driving challenges depends on our capacity to measure and understand autonomous vehicle behavior. We are looking for a Data Scientist to join our Autonomy Integration Metrics team, where you will partner closely with behavior engineers and product stakeholders to develop and implement the metrics that define how well our system drives.

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.


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.

In this role you will :

  • Design, develop, and implement quantitative behavior metrics that assess AV performance across diverse driving scenarios and geofences

  • Build and maintain data pipelines and dashboards to track simulation and fleet metrics across geographies and software versions

  • Identify performance gaps and regressions by analyzing large-scale vehicle logs and simulation data
  • Drive the definition of metric thresholds and acceptance criteria to support geofence expansion decisions

  • Communicate findings and metric frameworks clearly to technical and non-technical audiences

Qualifications:

  • B.S. or M.S. in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience)

  • 2+ years of experience in data science, with a focus on metric design and development or performance evaluation

  • Strong proficiency in Python in production environments with standard repo practices

  • Experience working with time-series or sensor data; familiarity with robotics or AV data is a plus

  • Ability to work cross-functionally and distill complex technical requirements from diverse stakeholders

  • Bonus Qualifications:

  • Proficiency in C++

  • Experience with simulation-based validation and metrics

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