Learned Trajectory Machine Learning Engineer (Machine Learning)

TL;DR

Learned Trajectory Machine Learning Engineer (Machine Learning): Developing deep learning models for trajectory generation in autonomous vehicles with an accent on behavior prediction and motion planning. Focus on collaborating with cross-functional teams to enhance vehicle performance in complex urban environments.

Location: Foster City, CA

Salary: $189,000 - $270,000

Company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

• Develop new deep learning models using imitation and reinforcement learning for autonomous vehicle driving plans.
• Leverage large-scale machine learning infrastructure to discover innovative solutions.
• Develop metrics and tools for error analysis and system improvements.
• Collaborate with engineers on Perception, Planning, and Simulation to solve autonomous driving challenges.

Requirements

• BS, MS, or PhD in computer science or related field.
• Experience with transformer-based model architectures and reinforcement learning.
• Experience with production machine learning pipelines.
• Fluency in C++ or Python with basic C++ understanding.
• Strong mathematics skills.

Nice to have

• Conference or journal publications in Machine Learning or Robotics.
• Prior experience with prediction and/or autonomous vehicles.