Principal ML & AI Engineer (Spatial AI & Perception)

Job description

What's the role? As ADAS/AD moves towards model-driven intelligence, industry value is extending from map delivery to model training and validation. It's the growth of HERE's AI-model creation platform that turns maps and drive data into reusable spatial intelligence – powering scalable training, validation, and next generation ADAS/AD performance. As a Principal Engineer , you will work hands-on with cutting-edge architectures (BEVFormer, BEVFusion, occupancy networks), large-scale distributed training, model quantisation and compression for embedded SOCs, and proprietary datasets at a scale that most organisations simply do not have access to. If you want to push perception AI from research to real-world deployment — this is the role. Key Responsibilities: - Model Development & Training: Develop and train infrastructure perception models for lane detection, road boundaries, traffic signs/lights, and road surface attributes. Build BEV-based scene representation models (BEVFormer, BEVDet, BEVFusion, or similar), run large-scale distributed training, integrate geospatial priors, and validate synthetic training data for quality and coverage gaps. - Model Optimisation & Edge Readiness...