Machine Learning Engineer, Application Software

About the role

Our Application Software team pushes the frontier of model-based autonomous driving, improving core driving performance and developing intelligent features such as personalisation, comfort and collaboration. As a Machine Learning Engineer, you'll lead critical initiatives to design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span model architecture, data pipelines, evaluation frameworks and real-world deployment. You'll work closely with AI Platform, Simulation, Robot Software and Model Release teams to build systems that are performant, adaptable and ready for production, while helping shape the long-term technical direction across Autonomy.

Responsibilities

• Develop and improve end-to-end driving models, advancing their performance, robustness and generalisation
• Lead technical initiatives in personalised and collaborative driving, including behaviour conditioning, comfort tuning and alignment with user preferences
• Build evaluation pipelines and metrics to assess open-loop and closed-loop driving performance and product readiness
• Curate and mine real-world and synthetic data to improve scenario diversity, coverage and feature-specific development
• Collaborate across engineering teams to integrate models, accelerate iteration and support real-world deployment
• Mentor senior engineers, drive technical alignment and influence architecture, training and deployment decisions
• Advance end-to-end driving intelligence connecting model development with real-world performance
• Develop ML-driven behaviours for personalisation, comfort and collaboration that adapt to user preferences
• Create frameworks measuring driving quality, robustness and feature performance in open-loop and closed-loop settings
• Use real-world and synthetic data to uncover gaps, broaden scenario coverage and support targeted feature development
• Shape model architectures, training methodologies and deployment pathways across AI Platform, Simulation, Robot Software and Model Release
• Lead cross-team initiatives and help define the long-term technical direction of autonomy capabilities

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
• Confident using ML frameworks, especially PyTorch
• Strong foundation in software engineering practices and experience building reliable, maintainable ML systems
• Experience with real-time systems or robotics, ideally including simulation-in-the-loop or vehicle-in-the-loop components
• Ability to lead technical initiatives across teams, build alignment and mentor engineers

Qualifications

• Experience in autonomous driving, imitation learning or trajectory prediction
• Familiarity with personalisation, human behaviour modelling or driver intent inference
• Experience integrating ML systems into production hardware or multi-agent simulation

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, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Pay

Compensation Range: $311,850 - $350,625

Schedule

Full-time role based in Sunnyvale, CA, or Detroit, MI, with a hybrid working model. Main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. Hybrid model combines in-person collaboration in dedicated office spaces with focused remote work time.

Interview Process

• Initial call / recruiter screen (30 minutes)
• Competency Interviews: Python programming and PyTorch debugging (2 hours)
• Deep-dive technical interviews: System Design, ML (1 hour)
• Final interview: mission & values alignment (45 minutes)

About the Company

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. Instead of relying on hand-coded rules or pre-mapped environments, the AI Driver learns to drive by understanding the world around it, navigating complex urban environments with intelligence, precision and natural flow. The mapless, hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced automation from L2+ through L4. Wayve operates with a hybrid working model across hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg.