Staff / Senior Machine Learning Engineer, AV Core
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 lead the technical direction and delivery of emergency-manoeuvre prediction and collision-detection models. You will take work from problem definition through modelling, evaluation, integration, deployment evidence, experimentation, and technology transfer.
Requirements
- Machine learning engineering experience
- Experience scoping ambiguous problems and establishing technical direction
- Experience with real-world deployed machine learning systems
- Python
- PyTorch
- Software engineering practices
- Experience building machine learning training and evaluation systems
- Experimental design including hypotheses metrics and ablations
- Senior-level technical ownership and cross-functional collaboration
- Autonomous vehicle or robotics deployment and closed-loop validation
- 3D scene understanding
- Representation learning
- Geometric perception
- Semantic perception
- Rare-event mining generation or evaluation using simulation and fleet data
- Transformer architectures
- Multimodal architectures
- Vision-language model
- Vision-language-action model
- C++
- CUDA
- Distributed training
- Performance optimization
Responsibilities
- Drive model-safety roadmap themes through research experimentation and technology transfer
- Train and deploy end-to-end models for emergency-manoeuvre prediction and collision detection
- Validate capabilities using large-scale diverse fleet data
- Collaborate on online occupancy models for geometric and semantic perception
- Build open-loop and closed-loop evaluations for core capabilities and representation learning
- Align priorities with evaluation product engineering fleet and simulation feedback
- Mentor others
- Maintain awareness of product programmes and organisational priorities
Benefits
- Hybrid working
- Equity package