Senior ML Engineer - Road & Lane Detection
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The role
The Senior ML Engineer will design, train, and optimize monocular and multimodal road model detection models to create accurate BEV representations of roads and lanes.
You will advance perception by fusing camera, LiDAR, and radar data, develop data pipelines, and apply data augmentation and domain adaptation to boost robustness.
You will integrate BEV in end-to-end planning and control pipelines, using maps as priors when advantageous, and enable real-time inference on automotive hardware.
You will build scalable data processing, annotation, and pseudo-labeling workflows, while monitoring model performance and addressing long-tail distributions.
You will deploy production-grade ML models on edge devices, collaborate with robotics, software, and hardware teams, and mentor junior engineers.
You will stay current with CV/ML research, translate findings into production, and contribute to roadmap and strategic discussions.
You will advance perception by fusing camera, LiDAR, and radar data, develop data pipelines, and apply data augmentation and domain adaptation to boost robustness.
You will integrate BEV in end-to-end planning and control pipelines, using maps as priors when advantageous, and enable real-time inference on automotive hardware.
You will build scalable data processing, annotation, and pseudo-labeling workflows, while monitoring model performance and addressing long-tail distributions.
You will deploy production-grade ML models on edge devices, collaborate with robotics, software, and hardware teams, and mentor junior engineers.
You will stay current with CV/ML research, translate findings into production, and contribute to roadmap and strategic discussions.
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