The Perception team at Zoox is fundamental to our autonomous vehicle technology creating the understanding of the world for our selfdriving robots. We enable safe and efficient navigation in complex environments through sophisticated detection classification and tracking systems.
As a Machine Learning Engineer on the Attributes team within the Perception department you will take ownership of developing and enhancing sophisticated behavioral models for various road users including vehicles pedestrians and cyclists. Your work will focus on creating and maintaining robust perception attribute models that generate critical signals for our autonomous driving stack. These signals are essential inputs that enable our Prediction and Planning teams to make intelligent safe driving decisions for our autonomous vehicles. In this role you will bridge the crucial gap between raw perception data and autonomous decisionmaking working closely with crossfunctional teams to optimize model outputs and enhance our systems overall perception capabilities. Your contributions will directly impact the safety and effectiveness of Zooxs autonomous vehicle platform advancing our mission of revolutionizing urban mobility.
Responsibilities
You will work with Data Labeling and Ontology teams on data labeling and ontology definitions of the road users in different attributes and generate autolabeling or data mining strategies for different attributes.
You will lead the development of sophisticated behavioral models for vehicles pedestrians and cyclists as a key member of the Attributes team within Zooxs Perception department.
You will create and maintain Perception attribute models that generate essential signals enabling our autonomous vehicles to understand and predict the behavior of various road users.
You will collaborate closely with Prediction and Planning teams to optimize your models outputs. This will directly influence how our autonomous vehicles make realtime driving decisions and bridge the critical gap between raw perception data and autonomous decisionmaking.
Impact
Your work in the Attributes team is fundamental to Zooxs autonomous driving capabilities. The models you develop will serve as the foundation for how our vehicles understand and interact with other road users directly contributing to the safety and effectiveness of our autonomous driving system. By creating reliable and accurate behavioral models you enable Zooxs vehicles to make smart safe decisions in complex urban environments bringing us closer to our goal of revolutionizing urban mobility
Qualifications
MS/PhD in Computer Science or related fields with a minimum of 5 years of relevant experience
Experience with training and deploying Deep Learning models
Experience with production Machine Learning pipelines: dataset creation training frameworks metrics pipelines
Fluency programming in Python and extensive experience with algorithm design
Strong mathematics skills
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$180000 to $289000. A signon bonus may be part of a compensation package. Compensation will vary based on geographic location jobrelated 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 longterm care insurance longterm and shortterm disability insurance and life insurance.
About Zoox
Zoox is developing the first groundup 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 mobilityasaservice in urban environments. Were looking for top talent that shares our passion and wants to be part of a fastmoving and highly executionoriented team.
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