Machine Learning Engineer, Application Software

Wayve • Sunnyvale, CA

18h • Hybrid

About The Position

Wayve’s Application Software team advances model-based autonomous driving, improving core driving performance and developing intelligent features such as personalisation, comfort and collaboration. The Machine Learning Engineer will lead initiatives to design and deliver ML-driven behaviours that scale from assisted to autonomous driving. The work spans model architecture, data pipelines, evaluation frameworks and real-world deployment, in collaboration with AI Platform, Simulation, Robot Software and Model Release teams. The role also contributes to the long-term technical direction of Autonomy.

The position focuses on end-to-end driving intelligence, ML-driven behaviours that adapt to user preferences, evaluation of driving quality and product readiness, data-driven model improvement, and production-scale learning systems. It includes technical leadership across teams and mentoring engineers.

This is a full-time hybrid role based in Sunnyvale, California, or Detroit, Michigan. Wayve describes its working model as combining in-person collaboration in dedicated offices with focused remote work.

Requirements

• Extensive, proven track record of shipping deep learning systems to production.
• Deep expertise in deep learning, particularly sequential models, control, planning or perception.
• Proficiency in Python and experience with relevant languages such as C++ or CUDA.
• Confidence 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.

Nice To Haves

• 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.

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.
• Help define the long-term technical direction of autonomy capabilities.

Benefits

• Salaries benchmarked against the market annually.
• Meaningful equity, sharing in Wayve’s ownership and long-term success.
• Relocation support and visa sponsorship where applicable.
• Hybrid working and core hours.
• Opportunity 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 and team socials.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed