Deep Learning Researcher

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, including HOCHTIEF, 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 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.

Requirements:

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

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