Join to apply for the Machine Learning Engineer role at Wayve Join to apply for the Machine Learning Engineer role at Wayve Get AI-powered advice on this job and more exclusive features. 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. About Us 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 vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a an ML Engineer , you will contribute to the development of machine learning systems that are deployed in real vehicles. Depending on your background and interests, you may work on improving d riving performance, developing feature-level behaviors, or contributing to safety-critical components such as collision avoidance and driving boundaries. This is a hands-on engineering role focused on model development, experimentation, evaluation, and infrastructure. You’ll collaborate with engineers and scientists across Autonomy, Safety Systems, Simulation, and AI Platform to deliver impactful ML solutions that make autonomy safer, smarter, and more product-ready. What You’ll Be Working On Improving model performance: enhancing robustness, generalization, and closed-loop driving quality through better architectures, loss functions, or training data. Training and evaluating driving models that support comfort, intent understanding, or collaborative behavior. Contributing to the design of intelligent safety mechanisms such as learned interventions or driving constraints. Mining and curating diverse datasets to improve model coverage across environments and behaviors. Developing pipelines and metrics for evaluating models in both open-loop and closed-loop settings. Collaborating with Simulation and Release teams to test your models in virtual and real-world environments. About you Essential 2+ years of experience in applied ML or robotics roles. Strong coding skills in Python and practical experience with ML libraries (e.G., PyTorch). Demonstrated experience building, training, and evaluating ML models. Solid understanding of ML fundamentals, experimentation, and data-driven iteration. Experience with model development, evaluation, and working with real-world or large-scale data. Desirable Background in autonomous driving, ADAS, robotics, or safety-critical applications. Experience with behavioral modeling, intent prediction, or real-time control systems. Familiarity with simulation-based evaluation, driving data pipelines, or performance benchmarking. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re 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. This is a full-time role based in our office in Sunnyvale. 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. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re 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. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: 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. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Wayve by 2x Get notified about new Machine Learning Engineer jobs in London, England, United Kingdom . 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