Senior Deep Learning Researcher
Join a team of experienced researchers to lead the research and implementation of algorithms analyzing visual data from construction sites using deep learning and computer vision.
Responsibilities
- Research and design deep learning solutions for computer vision problems using large-scale visual and 3D data.
- Design, research, and evaluate the production photogrammetry pipeline including feature matching, SfM, and multi-view stereo.
- Address challenges in 3D reconstruction and localization for indoor environments.
- Own the complete research cycle from requirements to design, implementation, and benchmarking.
Requirements
- 7 years of experience researching deep learning for computer vision problems.
- Deep expertise in 3D perception, specifically feature matching, SfM, SLAM, MVS, depth estimation, or 3D reconstruction.
- MSc in CS, EE, or a similar department.
- Experience with deep learning libraries, preferably PyTorch.
- Proficiency in Python.
- Ability to thrive in a fast-paced startup working environment.
Nice to have
- Experience with 3D foundational models (VGGT/Depth Anything) or semi-dense/dense matchers (RoMA/DKM).