At Wayve we''re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.We value diversity, embrace new perspectives, and foster an inclusive work environment; As a

Staff/Principal ML Engineer

within the Autonomy team, youll lead critical initiatives that push the frontier of model-based autonomous drivingboth in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.Youll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. Youll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.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 both closed-loop and open-loop driving performance and product readiness.Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.Mentor senior engineers and shape the long-term technical direction across Autonomy.7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production.- sequential models, control, planning, or perception).- Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.- Experience integrating ML systems into production hardware or multi-agent simulation.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. If youre passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.indicates a required fieldPhone *Learn more about how we handle your data for recruiting purposes in our privacy notice: * For candidates who complete the questionnaire, their data will be anonymised and used only in the aggregate to inform our attraction strategy. Wayve is an equal opportunity employer and this data will be used for opportunity monitoring purposes.Do you consider yourself to have a disability or long-term health condition?