Machine Learning Engineer, II - 3D Perception

What you'll do

• Own model development and delivery for defined perception problems, from data preparation and training through evaluation and integration.
• Write production-quality Python and PyTorch code and improve scalable training, evaluation, and inference workflows.
• Analyze model performance and failure modes, improve robustness, and collaborate on integrating models into production autonomy software.

What they ask for

• Bachelor’s degree in a related technical field with 4+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant experience, or equivalent practical experience.
• Experience developing machine learning models in computer vision, perception, robotics, autonomous systems, or a closely related domain.
• Strong Python and PyTorch skills, including production-quality ML code; experience training, evaluating, and improving deep learning models using large-scale datasets.
• Experience with image-based and/or 3D perception systems and debugging model behavior and performance.

Nice to have

• Experience with autonomous driving, robotics, or ADAS perception; LiDAR, point clouds, sensor fusion, BEV, or other 3D perception techniques.
• Experience with temporal or video-based perception, C++, ROS, production deployment, distributed training, or ML tooling.

Pay

$153,200 — $183,800 USD (base salary)

Tools

Python, PyTorch, LiDAR, C++, ROS

AI focus

Develop, train, evaluate, and integrate machine learning models for multimodal autonomous-truck perception, especially BEV and camera-based 3D perception.