Machine Learning Engineer

Wayve is seeking a Machine Learning Engineer to lead development of end-to-end driving models for autonomous vehicles. You'll design ML-driven behaviors, build evaluation pipelines, and collaborate across teams. The role requires deep learning expertise and experience shipping production systems.

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
• Build evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness.
• Curate and mine real-world and synthetic data to drive scenario diversity and feature-specific development.
• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
• Collaborate cross-functionally across teams to ensure integration and iteration velocity.
• Mentor senior engineers and shape long-term technical direction across Autonomy.

• Extensive and proven track record of shipping deep learning systems to production.
• Expert in deep learning (especially sequential models, control, planning, or perception).
• Proficient in Python and other relevant languages (e.g., C++ and CUDA) and ML frameworks (especially PyTorch), with a solid foundation in software engineering practices.