Senior Deep Learning Researcher 3D

About Buildots*

Buildots is the world’s most advanced construction intelligence platform. By comparing schedules and BIM against site reality, its advanced AI transforms granular data into insights that unlock operational excellence.

Fortune 500 contractors and owners trust Buildots, includingHOCHTIEF, Bouygues, Intel, NCC and VINCI Construction.

Its impact is proven at every scale, from multi-family projects to multi-gigawatt data centers.

About the Role*

Our algorithms team is responsible for all of the deep learning and computer vision challenges the company is facing, tackling complex real-world problems that directly affect the company’s success. You’d be joining a team of experienced researchers leading the research and implementation of our algorithmic engine analyzing large streams of visual data from construction sites, together with 3D models.

What you'll do:*

• Research and design deep learning solutions for different computer vision problems, using tremendous amounts of visual and 3D data.• Design, research and evaluation of our production photogrammetry pipeline — feature matching, SFM and multi-view stereo.• Face challenges in areas of 3D Reconstruction and localization for indoor environments.• Own the complete research cycle, from requirements to design, implementation, and benchmarking, producing innovative solutions for core company problems..• Be part of a vibrant team of bright and experienced engineers bringing the construction industry into the digital age..

• 7 years of experience researching deep learning for computer-vision problems.• Deep expertise in 3D perception, specifically within feature matching, SfM, SLAM, MVS, depth estimation, or 3D reconstruction.• MSc. in CS/EE/Similar departments.• Experience with deep learning libraries (preferably PyTorch).• Proficiency in Python.• Ability to thrive in a fast-paced startup working environment.• Good vibes and a sense of humor - must.• Experience with 3D foundational models (VGGT/Depth Anything) or semi-dense/dense matchers (RoMA/DKM) - Advantage.

• 7 years of experience researching deep learning for computer-vision problems..• Deep expertise in 3D perception, specifically within feature matching, SfM, SLAM, MVS, depth estimation, or 3D reconstruction..• MSc. in CS/EE/Similar departments..• Experience with deep learning libraries (preferably PyTorch).• Proficiency in Python..• Ability to thrive in a fast-paced startup working environment..• Good vibes and a sense of humor - must..• Experience with 3D foundational models (VGGT/Depth Anything) or semi-dense/dense matchers (RoMA/DKM) - Advantage.