5 hours ago
London, United KingdomStaff+
Responsibilities
- Lead and execute large-scale training runs for video or adjacent foundation models from experimental design through production-grade execution.
- Contribute to model architecture and training strategy using first-principles understanding.
- Improve world-model capabilities for synthetic scenario generation and downstream driving-model evaluation and training.
- Partner with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact.
- Provide technical leadership through mentorship, review, and establishment of engineering and research standards.
Requirements
- In-depth experience training large-scale language, video, or other foundation models, including ownership of training at scale.
- Strong understanding of model architecture and ability to contribute to architecture and training decisions.
- Strong hands-on engineering skills with modern ML stacks, including debugging and performance- and reliability-minded development.
- Typically 4–5+ years of relevant industry experience.
- Experience with world models, video generation, or long-horizon prediction is desirable.
- Experience improving data and training pipelines and working with distributed training, efficiency, reliability, and infrastructure constraints is desirable.
- Proven technical leadership, including tech-lead ownership, mentoring, and setting direction across an area, is desirable.
Benefits
- Full-time role based in London with a hybrid working policy combining office and workshop time with work from home.
- Inclusive interview experience with accommodations or adjustments available upon request.
Tech Stack
Categories
About Wayve
Wayve builds end-to-end autonomous driving software—the vehicle-agnostic Wayve AI Driver—that runs on onboard compute and native sensors, licensed to automakers and fleet operators. Its platform spans ADAS and higher autonomy (L2+/L3 to robotaxi) and is designed to generalize across vehicle types and geographies. Founded in 2017 and headquartered in London, it tests its models across Europe, North America, and Japan, with a U.S. base in Sunnyvale, CA.