Wayve, founded in 2017, is at the forefront of autonomous vehicle technology through their Embodied AI approach. As a Principal ML Engineer on the Scenario Technology and Coverage team, you'll be instrumental in revolutionizing how autonomous vehicles learn and operate. The role focuses on building scalable, data-driven scenarios for evaluating and validating self-driving models.
The position offers a unique opportunity to lead the development of ML-based tools that enhance scenario pipelines, from data mining to simulation-based evaluation. You'll work with cross-functional teams, architect scalable systems, and drive innovation in scenario coverage. The role combines technical leadership with hands-on development, requiring expertise in ML fundamentals and production-level solutions.
Wayve offers a collaborative, mission-driven environment with a strong focus on innovation and impact. The company provides comprehensive benefits, including full medical coverage, catered lunches, and professional development opportunities. Based in California, they operate a flexible hybrid working model that balances office collaboration with remote work flexibility.
The ideal candidate brings 10+ years of industry experience, with deep ML expertise and a track record of leading large-scale projects. Experience in autonomous vehicles or robotics is highly valued. This role offers the chance to shape the future of autonomous driving while working with cutting-edge technology and bright minds in the field.
Wayve's culture emphasizes diversity, respect, and continuous learning. They're committed to creating an inclusive environment where everyone can contribute meaningfully to their mission of creating autonomy that propels the world forward. The company's relatively small size ensures that your contributions will have a significant impact on the future of autonomous driving technology.