Principal Machine Learning Engineer Geometric Vision
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 set direction for geometric vision, design and train 3D foundation and world models, build scalable data and supervision pipelines, and evaluate and deploy models on real vehicles. You will lead technical decisions across model architecture, distributed training, inference, and onboard constraints.
Requirements
- Expertise in 3D computer vision, geometric vision, or 3D machine learning
- Experience designing, training, and evaluating deep-learning models at scale using PyTorch or a comparable framework
- Knowledge of geometry, linear algebra, probability, optimization, and 3D transformations
- Software engineering skills in Python and C++
- Experience building large-scale data, training, evaluation, or deployment pipelines
- Principal-level technical leadership experience
Responsibilities
- Design and train 3D foundation models and world models using driving data
- Develop architectures for 3D perception, geometric reasoning, reconstruction, and world modeling
- Build scalable data-generation and auto-labeling pipelines
- Develop offline SLAM and 3D reconstruction systems for training and evaluation supervision
- Apply multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit representations, and 3D modeling techniques
- Develop multimodal foundation vision models using camera, radar, and LiDAR data
- Train and evaluate models on distributed compute
- Optimize and deploy models into autonomous-driving systems
- Set technical direction for geometric vision
Benefits
- Hybrid working arrangement
- Competitive equity package