Machine Learning Engineer - Perception Attributes

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 auto-labeling 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 Zoox's 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 real-time driving decisions and bridge the critical gap between raw perception data and autonomous decision-making.

Impact

• Your work in the Attributes team is fundamental to Zoox's 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 Zoox's 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