Computer Vision Research Engineer

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 (SfM), 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 (SfM), 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

• PhD 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, SfM, SLAM, or closely related areas.
• Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc.
• Strong programming skills in Python and experience in PyTorch.
• 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…