Senior / Staff Machine Learning Engineer - Perception Attributes

Zoox
Foster City, US
On-site

Who this role is best for

Aimed at senior machine learning engineers comfortable with developing behavioral models for autonomous vehicles in complex urban environments.

Best fit for

  • Engineers experienced in behavioral modeling for autonomous systems
    — “developing and enhancing sophisticated behavioral models”
  • Candidates who thrive on foundational work impacting downstream systems
    — “serve as the foundation for how our vehicles understand”
  • Those focused on safety-critical machine learning applications
    — “directly contributing to the safety and effectiveness”

Things to consider

  • Work impacts real-world autonomous vehicle decision-making
    — “enable our Prediction and Planning teams to make intelligent, safe driving decisions”
  • Models must perform reliably in complex urban environments
    — “complex urban environments”

How to stand out

  • Demonstrate experience with perception systems that feed prediction modules
    — “critical signals for our autonomous driving stack”
  • Highlight projects where your models directly enabled decision systems
    — “essential inputs that enable our Prediction and Planning teams”
  • Showcase work on multi-agent behavioral modeling
    — “various road users, including vehicles, pedestrians, and cyclists”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develop and enhance behavioral models
  • generate critical signals for autonomous driving
  • contribute to safety and effectiveness of autonomous driving system
Typical background
machine learning experienceautonomous driving experience

Skills & requirements

Required

Machine LearningBehavioral ModelsPerception AttributesAutonomous DrivingPrediction And Planning

Preferred

Autonomous Vehicle Experience

About the role

Original posting from Zoox via Lever

As a machine learning engineer within the Attributes team in 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. 

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.

Source: Zoox careers (Lever)

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