Machine Learning 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 develop and improve end-to-end driving models, lead personalised and collaborative driving initiatives, build evaluation pipelines, curate real-world and synthetic data, and influence model architecture, training, and deployment decisions. You will also mentor engineers and support cross-functional integration.
Requirements
- Ship deep learning systems to production.
- Demonstrate expertise in deep learning, including sequential models, control, planning, or perception.
- Use Python, C++, CUDA, PyTorch, and software engineering practices.
- Work with real-time systems or robotics.
- Lead technical initiatives and mentor engineers.
- Have experience with autonomous driving, imitation learning, trajectory prediction, personalisation, human behaviour modelling, driver-intent inference, production hardware, or multi-agent simulation.
Responsibilities
- Develop and improve end-to-end driving models.
- Lead personalised and collaborative driving initiatives.
- Build evaluation pipelines and metrics for driving performance and product readiness.
- Curate and mine real-world and synthetic data.
- Influence architecture, training, and deployment decisions.
- Collaborate across functions to support integration and iteration.
- Mentor engineers and shape technical direction.
Benefits
- Hybrid working arrangement.
- Flexible scheduling within core working hours.