Machine Learning Engineer, Synthetic Data and World Models (GAIA) at Wayve (London)
Job Description
Wayve’s simulation team in London is hiring a machine learning engineer for synthetic data. The role builds, scales and optimises Wayve’s generative world models (GAIA and its successors) and connects them to high-throughput generation and training, so that synthetic driving data can speed up autonomy development. Work includes post-training world models for new vehicles and behaviours.
At a glance
- Team: Simulation / synthetic data
- Location: London
- Focus: Generative world models and synthetic training data
- Apply: open until filled (re-checked 14 October 2026)
What you would do
- Build, scale and optimise next-generation world model architectures (GAIA and successors)
- Post-train world models for new embodiments and behaviours, such as rig and pose transfer and dashcam restaging
- Generate multimodal synthetic driving experience at scale
- Connect generation to training infrastructure so synthetic data improves driving models
Why this role matters
Real driving data rarely contains enough of the rare, dangerous situations a self-driving system must handle. Generative world models can create them on demand, and Wayve’s GAIA models are among the best known. This role turns those models into a data engine that directly speeds up how quickly autonomy can be trained and tested, and it builds skills in generative video that are in high demand well beyond driving.
What Wayve is looking for
- Strong ML engineering with large generative models
- Experience with distributed training and high-throughput data pipelines
- Understanding of video or world models
Nice to have
- Experience with simulation for autonomous driving
Pay and location
Wayve does not list pay in this posting.
How to apply
Apply through the official Wayve job posting. Wayve’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 14 October 2026. Check the posting for location and work-authorisation details before you apply.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: Wayve
Official advertisement: wayve.firststage.co
How to prepare for this application
- Generative scale: show large video or diffusion models you trained or served.
- Know GAIA: read Wayve's published work on world models.
- Data engines: experience linking generation to training matters.
- Evaluation: say how you would measure whether synthetic data helps.
About Wayve
Wayve, founded in London in 2017, develops embodied AI for driving: end-to-end models that let cars perceive and navigate without detailed maps, sold to carmakers. It also runs Wayve Labs for longer-term research and a new team building robot foundation models beyond cars.
