Staff Tech Lead Manager Machine Learning Vision Models
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 manage senior machine learning engineers and lead the technical direction for offline scene-understanding models. You will set roadmaps, guide model architecture, establish production-quality practices, accelerate feedback loops, align cross-functional plans across locations, resolve technical conflicts, and identify future capability needs.
Requirements
- 8+ years of machine learning engineering experience
- Computer vision
- Camera data
- Lidar data
- Production machine learning system
- 2+ years of line-management or technical leadership experience
- Hiring
- Engineer development
- Transformer
- Multimodal architecture
- Foundation model
- Large-scale training
- Python
- PyTorch
- Cross-functional leadership
- Perception system
- 3D scene understanding
- Cuboid detection
- Lane estimation
- Depth estimation
- Semantic enrichment
- Model distillation
- World model
- Simulation
- Counterfactual evaluation
Responsibilities
- Lead and grow a team of senior machine learning engineers
- Own technical direction for offline scene-understanding models
- Drive sprint, quarterly, and annual roadmaps
- Guide architecture for adapting on-vehicle and foundation models
- Build rigorous engineering practices for production machine learning systems
- Accelerate feedback from driving-model iterations
- Align roadmaps across functions and locations
- Identify capability gaps and build investment cases
Benefits
- Hybrid working policy