We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the…
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the…
Reported later raise (~$1.2B) with participation from Nvidia, Microsoft, Uber and automakers; reports indicate possible additional contingent capital
Investor Signal
“Mixed strategic and financial backing including major technology firms, semiconductor partners, automakers and institutional investors (examples: SoftBank, Nvidia, Microsoft, Eclipse, Balderton, Uber, Mercedes‑Benz, Nissan, Stellantis, AMD, Arm, Qualcomm, Baillie Gifford)”
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What we do
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Applied Scientist
On-SiteLondon, GB
On-Site • London, GB
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Who you are
In order to set you up for success as a Senior Applied Scientist at Wayve, we’re looking for the following skills and experience
Expertise in ML research/engineering with a focus on generative video, world models
Deep knowledge in diffusion & latent-video models
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
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
What the job involves
Benefits
Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
Mental health resources: Through Spill, you can access therapy and mental health support.
Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.
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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:
How can we deploy AVs in a new geography without collecting any real-world data?
Can synthetic environments trained with GAIA fully replace physical testing and data collection?
How do we design controllable models that allow agents to play, explore, and learn safely?
You will be a senior technical contributor inside Science, the team that incubates breakthrough ideas for Wayve
Invent next-generation generative world models (diffusion, transformer, or hybrid) that deliver real-time, controllable rollouts
Architect controllable GAIA models where agents can step into the world, enabling reinforcement learning, planning, and safety evaluation
Define robust metrics for long-horizon coherence, physics fidelity, and planner integration; run ablations and scaling studies to understand trade-offs
Ship impact by integrating models with fleet-scale training, sim-to-real evaluation, and on-vehicle deployment
Mentor & influence: guide junior researchers, shape technical roadmaps, publish at top venues, and represent Wayve in the global research community
Challenge assumptions: propose bold ideas, run disruptive experiments, and question conventional approaches
