Senior ML Engineer - Road & Lane Detection
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El puesto
Lead development of monocular and multimodal road and lane BEV perception models for autonomous trucking.
Train and validate models using camera, LiDAR, and radar data, handling varied weather and occlusions to ensure robust performance.
Design BEV-based road model inference and integrate into end-to-end planning and control pipelines.
Build scalable data pipelines for large-scale data processing, annotation, pseudo-labeling, augmentation, and domain adaptation.
Deploy ML models on edge hardware with real-time inference and resource optimization.
Collaborate cross-functionally, mentor junior engineers, and translate research advances into production-grade pipelines.
Train and validate models using camera, LiDAR, and radar data, handling varied weather and occlusions to ensure robust performance.
Design BEV-based road model inference and integrate into end-to-end planning and control pipelines.
Build scalable data pipelines for large-scale data processing, annotation, pseudo-labeling, augmentation, and domain adaptation.
Deploy ML models on edge hardware with real-time inference and resource optimization.
Collaborate cross-functionally, mentor junior engineers, and translate research advances into production-grade pipelines.
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