Senior/Staff Data Scientist - Collision Avoidance System

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.

Is this your next job Read the full description below to find out, and do not hesitate to make an application.

Responsibilities

• You will define key performance metrics for our safety critical perception and prediction system, 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 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.

Compensation

There are three major components to compensation for this position : salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights.

The salary will range from $217,000 to $309,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

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.

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.

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