This role focuses on developing next-generation neural scene-representation and reconstruction algorithms to transform sparse driving data into realistic digital worlds
Job Summary
This role focuses on developing next-generation neural scene-representation and reconstruction algorithms to transform sparse driving data into realistic digital worlds.
You will collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines for Waabi World.
The successful candidate is expected to publish high-impact research at top conferences such as CVPR, NeurIPS, and SIGGRAPH.
Matching Summary
This role focuses on developing next-generation neural scene-representation and reconstruction algorithms to transform sparse driving data into realistic digital worlds.
Skills & Requirements
Must-have
Ph.D. in Computer Vision or Machine Learning
Expert Python and PyTorch skills
Experience with 3DGS and NeRF techniques
Knowledge of dynamic scene reconstruction
Strong software engineering fundamentals
Nice-to-have
Ability to translate research into production code
First-author publications in top-tier venues
Experience with multi-sensor representation learning
Background in graphics and rendering systems
Collaborative team player with strong communication
Key Requirements
Ph.D. in Computer Vision, Machine Learning, Robotics, or related field
Equivalent research experience pushing technical boundaries
Expert-level proficiency in Python and PyTorch (or JAX)