Senior Data Scientist - Collision Avoidance System

Sorry, this job was removed at 08:08 p.m. (CST) on Wednesday, Jul 16, 2025
Foster City, CA
Hybrid
192K-260K Annually
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system. This role is within the CAS Validation and Verification team, supporting all of CAS’s developers in improving system and component performance across Zoox’s operations.

Responsibilities

  • You will define key performance metrics for CAS, in order to guide product development to a commercial launch
  • You will apply distributed computing algorithms to efficiently analyze petabytes of urban driving data
  • You will work closely with software engineers, data engineers, and data scientists to develop metrics and tools for analyzing errors and guiding improvements in our systems
  • You will contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation

Qualifications

  • MS or PhD degree in statistics, computer science, or related field
  • 5+ years of experience in a related field
  • Proficient with SQL / Spark / Python
  • Demonstrated expertise in statistical methodologies including sampling methods, hypothesis testing, power analysis, Bayesian inference, and multivariate analysis.
  • Experience with designing metrics and delivering actionable insights that drive  business decisions

Bonus Qualifications

  • Experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Familiarity with modern software development methodologies and tools (Agile, Git, unit testing, CI, etc.)
  • Experience with model evaluation and metric frameworks for autonomous driving or machine learning applications.

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.

Follow us on LinkedIn

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.

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The Company
HQ: Foster City, CA
2,500 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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