Principal Machine Learning Engineer, 3D Geometric Vision

📋 Description

• Design and train 3D foundation models and world models using large-scale driving data.
• Develop model architectures for 3D perception, geometric reasoning, reconstruction, and world
• Build scalable data generation and auto-labeling pipelines that produce high-quality geometric
• Develop and scale offline SLAM and 3D reconstruction systems and pipelines, using large-scale
• Develop and apply techniques in multi-view geometry, neural rendering, NeRFs, Gaussian Splatting
• Explore geometry-aware tokenization and representation learning, including efficient ways to encode

🎯 Requirements

• Deep expertise in 3D computer vision, geometric vision, or 3D machine learning, with experience in
• Strong experience designing, training, and evaluating modern deep-learning models at scale, using
• Strong mathematical and technical foundations in geometry, linear algebra, probability
• Track record of taking difficult research problems from idea to working system, including building
• Principal-level technical leadership: ability to identify high-leverage problems, set research and
• Desirable: Experience in 3D and geometric vision (multi-view geometry, dense 3D reconstruction

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave