About the job
At Wayve, we are dedicated to fostering a diverse, equitable, and respectful workplace that values the unique skills and perspectives of every individual. We are committed to inclusivity regardless of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related conditions (including breastfeeding), or any other basis protected by applicable law.
About Us
Founded in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundation models empower vehicles to perceive, comprehend, and navigate complex environments, significantly enhancing the usability and safety of automated driving systems.
Our vision is to create autonomous solutions that propel the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, facilitating a swift transition from assisted to fully automated driving. In our dynamic environment, we tackle significant challenges head-on, embracing uncertainty to unlock innovative solutions. We maintain high aspirations while remaining humble in our quest for excellence, continuously learning and evolving to pave the way for a smarter, safer future.
At Wayve, your contributions are valued. We champion diversity, welcome new perspectives, and cultivate an inclusive work environment where we support each other to make a meaningful impact.
Make Wayve the defining experience of your career!
The Role
Wayve is developing embodied foundation models for autonomous driving that learn from extensive experience, enabling them to perceive, understand, and navigate complex environments without relying on rigid rules or maps. This position offers the chance to lead foundational initiatives at the intersection of large-scale multimodal pretraining, language grounding, and post-training/alignment for embodied agents. You will collaborate with exceptional research and engineering teams to define what it means for models to understand language in context, grounded in real scenes, time, and action, and to develop the training and evaluation strategies necessary to scale this understanding.
As the leader of a team focused on enhancing language grounding and reasoning capabilities within Wayve’s multimodal foundation models, you will oversee pretraining and post-training efforts, representation learning, and thorough evaluation. While the importance of high-quality data and scalable pipelines is recognized, the primary focus will be on model capabilities: grounded understanding, transferable representations, and reliable reasoning behaviors in real-world applications.
