Machine Learning Engineer - Behavior and Planning

What you'll do

• Prototype, evaluate, refine, and deploy ML algorithms that generate driving trajectories.
• Build software and infrastructure foundations for behavior-specific ML development using company products.
• Collaborate with perception, planning, and research teams on models and techniques.

What they ask for

• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or a related field.
• Expertise in at least one of modeling, input pipelines, evaluation, deployment, or model optimization.
• Experience with the end-to-end development cycle of deep learning models.
• 2+ years building production software using modern software practices; fluency in Python and intermediate experience in C++.

Nice to have

• Peer-reviewed research at machine learning conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
• Experience with driver assistance or autonomous driving systems, or evaluating and improving system-in-the-loop model performance.

Pay

$150,000 - $260,000 USD annually (base salary); $151K – $258K (compensation type not stated)

Tools

Python, C++

AI focus

ML-first behavior prediction and planning, including predicting road-user trajectories, behaviors, and interactions and developing ML-based planners.