Lead ML/Perception Engineer

May Mobility develops autonomous vehicle technology and mobility services to make transportation safer, greener, and more accessible. The Lead ML/Perception Engineer will own the technical direction of vehicle perception, leading scene detection, adverse-weather robustness, architectural evolution, multimodal model integration, and production deployment while mentoring engineers.

Responsibilities:

• Work independently with cross-functional teams to develop software and system requirements
• Lead major architectural updates to the perception stack, including system-level design, modularization, and migration strategies that improve scalability, latency, and maintainability across the fleet
• Design, develop, and own scene detection and activation capabilities, classifying the operating scene/scenario and triggering the appropriate perception behaviors and operational design domain (ODD) logic at runtime
• Improve perception robustness under degradation and adverse weather, including sensor fault detection, health monitoring, graceful degradation, and fallback strategies for rain, snow, fog, glare, low-light, and sensor soiling/occlusion conditions
• Design, implement, and test state-of-the-art perception features on time with high quality, industrial-grade production code
• Integrate large-scale multi-modal models (including but not limited to VLMs and LLMs) into the perception stack to improve semantic scene understanding and reasoning
• Track and trend technical performance of perception in the field
• Lead major feature development including feature design, code reviews, issue diagnosis, and resolution
• Lead extensive testing to validate features and satisfy release schedules
• Lead development related to data, development, and ML pipelines, specifically focused on multimodal data alignment for training foundation models