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 At Wayve, we’re revolutionizing the way autonomous vehicles learn and operate, and the AI Synthesis team plays a pivotal role in that mission by building scalable, data-driven scenarios for evaluating and validating self-driving models. As a ML Engineer on the Scenario Technology and Coverage team, you'll lead the design and implementation of scalable ML-based tools that enhance our scenario pipeline—from data mining and scenario generation to simulation-based evaluation. Your work will be critical in ensuring that our driving models are thoroughly tested and optimized across diverse and realistic conditions.

Challenges You Will Own

• Lead the development of robust ML models and augmentation techniques that power our scenario generation and validation systems.
• Architect scalable systems for mining, curating, and synthesizing data to fuel scenario databases, using both real-world and synthetic data.
• Collaborate with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into our scenario pipelines.
• Drive innovation in scenario coverage, focusing on both closed-loop and open-loop evaluations.
• Own end-to-end technical solutions: from translating product requirements into engineering tasks to delivering high-impact ML models and infrastructure improvements.
• Identify and address infrastructure gaps, leading initiatives to enhance our foundational tools.
• Guide the team in navigating complex technical challenges and setting the technical direction in scenario technology.
• Mentor engineers across teams, fostering growth and innovation in scenario-driven ML engineering.

About you In order to set you up for success as a ML Engineer at Wayve, we’re looking for the following skills and experience.

Essential

• M.S. or Ph.D. in Computer Science, Machine Learning, or related fields, with 7+ years of industry experience.
• Proven experience in building, deploying, and scaling production-level ML solutions.
• Deep understanding of ML fundamentals with expertise in one or more areas: Deep Learning, Computer Vision, Traditional ML, or Large Language Models.
• Proficiency in Python, with a strong focus on clean, well-structured, and testable code.
• Experience leading and executing large-scale, cross-functional projects.
• 7+ years of experience in ML engineering and 4+ years in production deployments.
• Hands-on experience with data pipelines, SQL, and managing large-scale databases.

Desirable

• 3+ years of experience in simulation, perception, or autonomous driving technologies.
• Familiarity with training and evaluating autonomous vehicle models.
• Industry experience in autonomous vehicles, robotics, transportation, or computer vision.

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.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know

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.