Machine Learning Engineer, Synthetic Data
About this role
Wayve is hiring a Machine Learning Engineer, Synthetic Data in London, United Kingdom, to build and scale generative world models for autonomous driving. This role suits an applied machine learning professional who wants to bridge machine learning research and engineering to accelerate vehicle autonomy.
Role Overview
Wayve builds embodied intelligence to move real vehicles safely. The simulation team advances end-to-end autonomous driving research by incubating generative world models and synthetic data capabilities. This position focuses on building, scaling, and optimising world model architectures like GAIA and integrating them into generation and training infrastructure. The professional in this role will post-train world models for new vehicle embodiments, generate multimodal synthetic experiences at scale, and feed that data into downstream driving model training stacks. Operating between machine learning research and engineering, this position shapes how rapidly driving models are trained, evaluated, and deployed.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Wayve builds the leading artificial intelligence platform for autonomous driving. The company pioneers an end-to-end artificial intelligence approach that enables vehicles to learn directly from real-world experience, adapting and scaling without hand-coded rules or pre-mapped environments. Wayve integrates with global original equipment manufacturers to support software evolution from level two plus up to level four automation.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is this role located?
This role is based in London, United Kingdom, with a hybrid working model combining office collaboration and remote flexibility.
What level of experience is required?
The position requires 4+ years of experience in applied machine learning or research engineering.
What technical stack will I use?
The role utilizes Python, PyTorch, SDS, Flyte, and generative video or world models such as diffusion and flow-matching.
Is visa sponsorship available?
Yes, relocation support and visa sponsorship are provided where applicable.
What does the interview process look like?
The process includes an initial recruiter screen, competency interviews covering programming and hiring manager review, deep-dive technical interviews on systems and domain expertise, and a final mission and values alignment interview.