Staff Machine Learning Engineer 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 build, train, and fine-tune offline scene-understanding models. You will improve their accuracy and generalisation across vehicles, markets, and conditions; diagnose failure modes; establish benchmarks and quality bars; and produce statistically defensible evidence for validation pipelines and safety cases. You will align priorities across functions and mentor colleagues.
Requirements
- 5+ years of machine learning engineering experience
- Deep learning
- Computer vision
- Transformer
- Multimodal model
- Vision-language model
- Detection
- Segmentation
- Classification
- Scene understanding
- Camera data
- Lidar data
- Foundation model
- Python
- PyTorch
- Software engineering
- Large-scale training
- Technical leadership
- Model evaluation
- Metrics
Responsibilities
- Build, train, and fine-tune scene-understanding models
- Improve model accuracy and generalisation
- Diagnose failure modes and address blind spots
- Use offline compute, temporal context, and joint representation learning
- Benchmark models and conduct error analysis
- Define ground truth, correctness criteria, and automated benchmarks
- Produce statistically defensible validation evidence
- Align priorities across functions and mentor colleagues
Benefits
- Competitive equity package
- Hybrid working policy