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

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

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 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 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.

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 the GPU Kernel team, responsible for writing efficient ML kernels for autonomous vehicles, collaborating with engineers to deploy AI products.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.