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 pipelines—from data sampling and augmentation to distributed training and hyperparameter optimization.
Improve model robustness and generalization under long-tail conditions, low visibility, and occlusions, with rigorous evaluation metrics.
Collaborate with calibration, mapping, and fusion teams to ensure cohesive perception interfaces; mentor ML engineers and promote best practices.
Pursue advanced research in 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 pipelines—from data sampling and augmentation to distributed training and hyperparameter optimization.
Improve model robustness and generalization under long-tail conditions, low visibility, and occlusions, with rigorous evaluation metrics.
Collaborate with calibration, mapping, and fusion teams to ensure cohesive perception interfaces; mentor ML engineers and promote best practices.
Pursue advanced research in self-supervised learning, large-scale pretraining, and foundation models for 3D perception.
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