At a Glance
- Tasks: Conduct cutting-edge research in computer vision and develop innovative algorithms.
- Company: Join a pioneering tech firm at the forefront of spatial AI.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with top researchers and publish at leading conferences.
- Why this job: Make a real impact by transforming research into groundbreaking products.
- Qualifications: PhD or equivalent experience in computer vision or related fields required.
The predicted salary is between 60000 - 80000 £ per year.
Overview Conduct original research in computer vision, machine learning, and spatial AI.
Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (Sf M), feed-forward models, and spatial foundation models.
Collaborate with research scientists and engineers to transition promising ideas into future products.
Develop large-scale experiments and benchmarking frameworks.
Work directly with production realities, including real capture conditions, hardware constraints, and real customers.
Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.
Responsibilities Conduct original research in computer vision, machine learning, and spatial AI.
Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (Sf M), feed-forward models, and spatial foundation models.
Collaborate with research scientists and engineers to transition promising ideas into future products.
Develop large-scale experiments and benchmarking frameworks.
Work directly with production realities, including real capture conditions, hardware constraints, and real customers.
Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.
Requirements Ph D in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field.
Exceptionally strong candidates with equivalent experience in industry would be considered.
A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, Sf M, SLAM, or closely related areas.
Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, Neur IPS, etc.
Strong programming skills in Python and experience in Py Torch.
Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar.
Ability to independently drive research projects from idea generation through experimentation and publication.
Nice to Have Experience with classical reconstruction tooling (COLMAP etc).
C++ or CUDA, and a feel for performance and on-device constraints. #J-18808-Ljbffr
