Senior, ML Engineer - Road & Lane Detection

This role involves several key areas including:

• Computer Vision Algorithms: Training and optimizing monocular and multimodal road detection models, comprehending objects and weather conditions, and enhancing perception systems.
• BEV Architectures: Designing and implementing deep learning models for road model inference, and integrating BEV representations into planning and control pipelines.
• Data Management and Processing: Developing efficient pipelines for large-scale data processing and annotation of sensor data, as well as implementing data augmentation strategies.
• Collaboration: Working with robotics, software, and hardware teams to integrate perception systems, and collaborating with product and operations teams to improve system reliability.
• Research: Staying updated with advancements in computer vision and autonomous driving technologies, and translating research into machine learning pipelines.