Software Engineer - Prediction & Behavior ML

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 looking for software engineers to help us build novel architectures for classifying and understanding the complex and dynamic environments in our cities. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing, validating, and deploying your algorithms.

Our Prediction team’s role is to provide a probabilistic representation of the future state of the world; in particular, understanding what other vehicles, pedestrians, and cyclists will do next.  We leverage both high quality sensor data and high level semantic information to produce data-driven models of the future.  This representation is tightly integrated into our planning software to deliver a safe and smooth customer experience.

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 $135,000 to $225,000. 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.

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 [email protected] or your assigned recruiter.