3D Deep Learning Researcher

About Buildots

Buildots is transforming construction management with AI and computer vision.

Our AI-powered SaaS platform automates on-site progress tracking, giving construction teams the tools to plan smarter, improve efficiency, and cut costly delays by up to 50%. The $13 trillion construction industry has seen little disruption in the past 150 years. Until now. Backed by leading VCs and industry pioneers, Buildots enables a new, performance-driven approach.

Deployed on hundreds of projects across North America, Europe and the Middle East, Buildots is already reshaping the future of the world's largest industry, and we're on track for rapid expansion in 2025.

Buildots’ customers include top global contractors, consultants and owners – Intel, Tidhar, Azrieli Group, VINCI Construction, Turner and Multiplex, to name a few.

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 to meet unmatched accuracy and reliability demands.
• 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.
• Face challenges in areas of 3D Reconstruction, SLAM/SFM and localization for indoor environments

Requirements:

• Ability to thrive in a fast-paced startup working environment.
• 4 years of experience researching deep learning for computer-vision problems.
• MSc. in CS/EE/Similar departments.
• Deep theoretical and hands-on knowledge in the fields of deep learning for computer vision problems
• Experience with deep learning libraries (preferably PyTorch)
• Proficiency in Python.
• Good vibes and a sense of humor - must.
• Experience working with 3D data, including SLAM/SFM, localization or 3D-Reconstruction

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