Machine Learning Engineer, Application Software

📋 Description

• Develop and improve end-to-end driving models, advancing their performance, robustness and
• Lead technical initiatives in personalised and collaborative driving, including behaviour
• Build evaluation pipelines and metrics to assess open-loop and closed-loop driving performance and
• Curate and mine real-world and synthetic data to improve scenario diversity, coverage and
• Collaborate across engineering teams to integrate models, accelerate iteration and support
• Mentor senior engineers, drive technical alignment and influence architecture, training and

🎯 Requirements

• Extensive, proven track record of shipping deep learning systems to production.
• Deep expertise in deep learning, particularly sequential models, control, planning or perception.
• Proficient in Python, experienced with relevant languages such as C++ or CUDA, and confident using
• Strong foundation in software engineering practices and experience building reliable, maintainable
• Experience with real-time systems or robotics, ideally including simulation-in-the-loop or
• Ability to lead technical initiatives across teams, build 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