Machine Learning Engineer, Application Software

📋 Description

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness and
• Drive projects on personalised and collaborative driving, including behaviour conditioning, comfort
• Build evaluation pipelines and metrics for closed-loop and open-loop driving performance and
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage and
• Influence architecture choices, training methodologies and deployment pathways for production-scale
• Collaborate across teams to keep integration smooth and iteration fast.

🎯 Requirements

• Extensive and proven track record of shipping deep learning systems to production.
• Expert in deep learning (esp. sequential models, control, planning, or perception).
• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp.
• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop
• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave