Streamline your builds with Procore's construction project management software. Connect field and office teams, track project progress, and manage workflows in real time. Backed by Bessemer and ICONIQ.
About the role
Act as the day‑to‑day technical lead for applied ML projects within the Frontier Models & Spatial Intelligence team. Design, implement, and iterate on machine learning systems that analyze 2D drawings and BIM data to detect clashes, inconsistencies, and constructability risks.
What they're looking for
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Machine Learning, or a related field, or equivalent practical experience
- 8+ years of professional experience building production software systems, including applied machine learning components
- Strong experience designing, training, and deploying ML models using Python and modern ML frameworks
- Solid foundation in computer science fundamentals, including data structures, algorithms, and system design
- Experience working with complex or high‑dimensional data such as images, documents, or structured technical datasets
- Demonstrated ability to lead technically through direct contribution, mentorship, and architectural decision‑making
More about this role
We’re looking for a Staff Applied Research Scientist to join Procore’s AI & Frontier Models organization. In this role, you’ll act as the hands‑on technical leader for applied machine learning systems that extract spatial intelligence from construction drawings, BIM, and project data. The primary goal of this role is to design and deliver reliable, scalable ML systems that reduce design risk, improve constructability, and expand the range of spatial problems Procore teams can solve.
As a Staff Applied Research Scientist, you’ll partner with ML engineers, software engineers, product managers, and construction domain experts to lead day‑to‑day technical execution for spatial intelligence initiatives. Use your expertise in applied machine learning, software architecture, and system design to translate complex, ambiguous problems into high‑quality production systems. This is an opportunity to remain deeply hands‑on while shaping technical direction and raising the engineering bar for the team—join us and help define how spatial intelligence shows up in real construction workflows. Apply today.
This role reports reports into the Manager, Software Engineering, and is based in our San...
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