Staff, ML Engineer - BEV
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The role
Lead BEV-based perception model development across tasks such as detection, segmentation, road topology, and scene understanding.
Design advanced multi-modal architectures that fuse camera, LiDAR, radar, and HD maps into unified 3D representations.
Own large-scale training workflows—from data sampling and augmentation to distributed training and hyperparameter optimization.
Advance model robustness and generalization under low visibility, occlusions, and rare scenarios, with rigorous evaluation.
Collaborate with calibration, mapping, and fusion teams to ensure cohesive perception interfaces and mentor ML engineers.
Stay at the forefront of research, exploring self-supervised learning, large-scale pretraining, and foundation models for 3D perception.
Design advanced multi-modal architectures that fuse camera, LiDAR, radar, and HD maps into unified 3D representations.
Own large-scale training workflows—from data sampling and augmentation to distributed training and hyperparameter optimization.
Advance model robustness and generalization under low visibility, occlusions, and rare scenarios, with rigorous evaluation.
Collaborate with calibration, mapping, and fusion teams to ensure cohesive perception interfaces and mentor ML engineers.
Stay at the forefront of research, exploring self-supervised learning, large-scale pretraining, and foundation models for 3D perception.
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