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The role involves providing technical support during software integration for automated driving, resolving issues, and managing customer relationships.

Lead the Application Software team, focusing on vehicle integration and testing of Wayve's AI technology for autonomous systems in the U.S. market.

Lead initiatives in model-based autonomous driving, focusing on driving performance and feature intelligence. Develop ML-driven behaviors and collaborate with cross-functional teams.

Lead initiatives in model-based autonomous driving as a Staff Machine Learning Engineer, focusing on model architecture and real-world deployment. Collaborate with cross-functional teams and mentor senior engineers in developing driving systems.

Lead initiatives in model-based autonomous driving, develop ML-driven behaviors, manage projects on personalized driving, and mentor senior engineers.

Lead the ML Optimisation team to improve driving models for efficient deployment in vehicles, ensuring resource and latency constraints are met.

Oversee global supplier management, build supplier relationships, drive cost management, and collaborate with engineering for product development at Wayve.

Lead and develop a self-sufficient autonomous vehicle team in Japan, focusing on localizing and advancing AV technology tailored to Japanese road conditions and driving behaviors.

Lead the Indexing Team to scale indexing systems for multimodal video data, design architecture for retrieval systems, and collaborate with ML and data teams.

The role involves developing large-scale multi-modal models, optimizing training strategies, and contributing to research in AI, particularly for autonomous systems.