Senior Data Scientist - Collision Avoidance System

zoox

5+ Years | Foster City, California, United States of America (Hybrid) | Full Time | 38 months ago

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Job Summary

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations to enhance vehicle safety. CAS operates parallel to the Main Artificial Intelligence (AI) autonomy stack and collaborates closely with hardware and safety teams to integrate redundancy into the driving system. This role specifically focuses on the CAS Validation and Verification team, aiming to improve system and component performance across Zoox's operations by supporting CAS developers. You will be involved in defining key performance metrics, analyzing large datasets using distributed computing, and collaborating with various engineering disciplines to develop metrics and tools for error analysis and system improvements. The position encompasses all phases of the software development lifecycle.

Must Have

MS or PhD degree in statistics, computer science, or related field
5+ years of experience in a related field
Proficient with SQL / Spark / Python
Expertise in statistical methodologies (sampling, hypothesis testing, power analysis, Bayesian inference, multivariate analysis)
Experience designing metrics and delivering actionable business insights

Good to Have

Experience with production machine learning pipelines
Familiarity with modern software development methodologies (Agile, Git, unit testing, CI)
Experience with model evaluation and metric frameworks for autonomous driving or ML applications

Perks & Benefits

Zoox Stock Appreciation Rights
Amazon Restricted Stock Units (RSUs)
Sign-on bonus may be offered
Paid time off (sick leave, vacation, bereavement)
Unpaid time off
Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance

Job Description

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.

$192,000 - $260,000 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.

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 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.