Software Engineer - Learned Trajectory Machine Learning Engineer

What you'll do

• Develop imitation-learning and reinforcement-learning models for autonomous driving plans.
• Build metrics and tools to analyze errors and measure system improvements.
• Collaborate with Perception, Planning, and Simulation engineers on autonomous driving in complex urban environments.

What they ask for

• BS, MS, or PhD in computer science or a related field.
• Experience training and deploying transformer-based model architectures and reinforcement learning.
• Experience with production Machine Learning pipelines, including dataset creation, training frameworks, and metrics pipelines.
• Fluency in C++ or fluency in Python with a basic understanding of C++; extensive programming and algorithm-design experience and strong mathematics skills.

Nice to have

• Conference or journal publications in Machine Learning or Robotics venues.
• Prior experience with Prediction, autonomous vehicles, or robotics.

Pay

USD 189,000–270,000 (per-year-salary) — base salary

Tools

C++, Python, transformer-based model architectures, reinforcement learning, imitation learning

AI focus

Develops deep learned models using imitation learning and reinforcement learning to generate autonomous-vehicle driving plans, and techniques to assess plan quality.