Machine Learning Engineer, Controllable GAIA
Wayve is seeking a Machine Learning Engineer to join their Science team, focusing on advancing end-to-end autonomous driving research. The role involves developing next-generation controllable generative world models (GAIA) for high-fidelity simulation, leveraging generative modeling, simulation, and reinforcement learning. Key responsibilities include inventing real-time generative models, architecting interactive GAIA, defining robust metrics, and integrating models for fleet-scale deployment.
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!
Science is the team that is advancing 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.
This role would sit within Science focusing on unlocking disruptive innovation that solves self-driving. We believe the next leap in autonomy won’t come from collecting endless real-world miles — it will come from simulating the world with unprecedented fidelity and generalisation. That’s where GAIA, our generative world model, comes in.
As an Applied Scientist on the Science team, you’ll play a central role in developing the next generation of GAIA. These controllable world models will roll out diverse, photoreal, and physics-aware futures across multiple sensors (camera, radar, LiDAR), powering faster training, broader testing, and scalable deployment — even in places and situations we’ve never driven before.
GAIA-2 added multi-camera consistency, fine-grained control, and richer geographic diversity, enabling us to stress-test autonomy at scale. The next generation must go further: thousands of real-time rollouts per second, closed-loop interactivity with agents, and compute efficiency that makes training and deployment practical.
You’ll work at the intersection of generative modeling, simulation, and reinforcement learning, tackling questions like:
You will be a senior technical contributor inside Science, the team that incubates breakthrough ideas for Wayve. Your mandate:
In order to set you up for success as a Senior Applied Scientist at Wayve, we’re looking for the following skills and experience.
Posted June 2, 2026