Senior, Machine Learning Engineer - Camera Model
Core
Develop and deploy deep learning models for camera-based perception (object detection, segmentation, depth estimation) to enable autonomous truck autonomy stacks.
Role type
Senior IC machine learning engineer (computer vision/perception)
Builds
Production-ready camera perception models for autonomous freight trucks
Domain
Autonomous driving / Robotics / Computer Vision
Deliverable
production ML models
Required skills
Deep learning model development, Python, PyTorch, distributed training, CNNs, transformers, model debugging, cross-functional collaboration
Preferred skills
Autonomous driving experience, multi-task learning, Ray, camera calibration, 3D perception (BEV, monocular depth)
Responsibilities
Design and deploy deep learning models for perception tasks, own end-to-end model development from data curation to deployment, write production-quality ML code, analyze model performance and improve robustness, contribute to large-scale training pipelines, collaborate on dataset quality and labeling strategies, improve tooling and workflows, mentor junior engineers
Seniority
Senior, hands-on IC