12 hours ago
London, United KingdomSenior
Responsibilities
- Lead large-scale data enrichment initiatives involving pretraining, midtraining, reward modelling, self-supervised labelling, and the Data Enrichment Platform.
- Build workflows for data enrichment, curation, and hard or rare event mining.
- Design and train out-of-distribution detection mechanisms for robust driverless operation.
- Shape architecture and boundaries across model engineering, infrastructure, compute, and data teams.
- Improve the efficiency of machine learning and operations systems through technical judgment and expertise.
Requirements
- Hands-on experience with machine learning systems deployed in the real world.
- Proficiency in Python and PyTorch, plus strong software engineering practices and experience building reliable ML training and evaluation systems.
- Experience with ML operations and infrastructure, distributed computing environments, and large-scale inference.
- Ability to lead a substantial technical area and collaborate across research and engineering teams.
- Experience with autonomous vehicles or robotics, physical-system deployment, closed-loop validation, rare-event analysis, simulation, fleet data, or heterogeneous real-world data is desirable.
- Experience with cloud monitoring solutions, dashboards, logging, real-time alerts, transformer-based or multimodal architectures, VLMs, VLAs, C++, CUDA, distributed training, or production ML performance optimization is desirable.
Benefits
- Full-time role based in London.
- Hybrid working policy combining office and workshop collaboration with work from home.
- Inclusive interview accommodations and adjustments are available upon request.
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.