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 spatial representations.
Own end-to-end training workflows, including data sampling, augmentation, distributed training, and hyperparameter optimization.
Improve model robustness and generalization to long-tail conditions like low visibility and occlusions; establish robust evaluation frameworks.
Collaborate with calibration, mapping, and fusion teams to ensure cohesive perception interfaces, and mentor ML engineers on best practices.
Stay at the forefront of ML 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 spatial representations.
Own end-to-end training workflows, including data sampling, augmentation, distributed training, and hyperparameter optimization.
Improve model robustness and generalization to long-tail conditions like low visibility and occlusions; establish robust evaluation frameworks.
Collaborate with calibration, mapping, and fusion teams to ensure cohesive perception interfaces, and mentor ML engineers on best practices.
Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, and foundation models for 3D perception.
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