Staff Machine Learning Scientist Engineer
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research and develop model architectures, learning objectives, and data strategies for robot foundation models. You will build scalable pre-training, post-training, dataset-curation, and distributed-training systems, connect model progress to real-world performance, and communicate research through publications.
Requirements
- Machine-learning experience focused on multimodal foundation models and foundation-model data
- Experience with scalable training, large datasets, or large models
- Research publications in top-tier venues
- Engineering experience with modern machine-learning frameworks
- Ability to design rigorous experiments
- Experience translating research ideas into working systems
Responsibilities
- Research and develop model architectures, learning objectives, and data strategies for robot foundation models
- Develop self-supervised and generative pre-training methods using video and robot-interaction data
- Develop supervised fine-tuning, imitation-learning, and reinforcement-learning methods
- Curate, filter, and evaluate large-scale robotics datasets
- Build and use distributed training pipelines
- Connect model progress to measurable real-world performance
- Communicate research through publications and scientific activities
Benefits
- Equity package
- Flexible scheduling through core working hours