Applied Scientist, World Modeling New London

At Wayve, we are committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives. 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.

The role of the Science team is to advance our end-to-end autonomous driving research. The team’s mission is to accelerate our journey to AV2.0 and ensure the future success of Wayve by incubating and investing in new ideas that have the potential to become game-changing technological advances for the company.

Where you’ll have impact: This role would sit within Science focusing on unlocking disruptive innovation that solves self-driving. We believe the next big leap in autonomy won’t come from collecting more real-world data—it’ll come from learning to simulate the world with unprecedented fidelity and generalization. As an Applied Scientist in the Science team, you’ll play a key role in developing next-generation world models and planners that can simulate complex, diverse, and temporally consistent driving environments.

Key responsibilities:

• Invent and iterate on generative world models (e.g., diffusion, transformer-based, or hybrid) to simulate dynamic, interactive driving scenarios with high realism and controllability.
• Train large-scale temporal models on multi-modal data (video, LiDAR, vehicle telemetry), learning representations of complex real-world dynamics.
• Design experiments to understand model generalization, scaling behaviour, and performance trade-offs between synthetic and real data.
• Define and track metrics and benchmarks for long-horizon prediction, scene fidelity, and planner integration.
• Challenge assumptions and drive innovation: propose bold ideas, conduct ablation studies, and question conventional approaches to training and evaluation.
• Contribute to the broader research community through publications, talks, and open-source contributions.

About you: In order to set you up for success as an Applied Scientist at Wayve, we’re looking for the following skills and experience:

• 2+ years of experience in ML engineering or applied research roles.
• Deep knowledge of generative modelling (e.g., auto-regressive, diffusion, or VAEs).
• Experience working with high-dimensional temporal or spatial-temporal data (e.g., video, multi-sensor fusion).
• Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.
• Strong publication record or contributions to open-source ML tooling.
• Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.
• Experience in AVs, robotics, simulation, or other embodied AI domains.
• Experience working with synthetic-to-real transfer.

Why Join Us: Work on transformative technology with real-world impact on mobility, safety, and AI. Access massive driving datasets, cutting-edge infrastructure, and world-class research talent. Be part of a high-trust, high-autonomy team that values creativity, experimentation, and deep thinking. Publish, share, and shape the future of generative AI for autonomy.

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.