Staff Applied ML Scientist: Spatial Intelligence Datagrid

Procore Technologies Construction Private Limited

San Francisco (CA)

Hybrid

USD 227,000 - 313,000

Full time

9 days ago

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Benefits offered by this job

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Job summary

Procore Technologies Construction Private Limited in San Francisco is seeking a Staff Applied Research Scientist to lead hands-on ML efforts on spatial intelligence from construction drawings, BIM, and project data. You will design reliable, scalable production ML systems and guide engineering teams to reduce design risk and improve constructability.

The role partners with ML engineers, software engineers, PMs, and domain experts, staying hands-on while shaping technical direction.

Qualifications

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 with high-dimensional data such as images, documents, or structured technical datasets.
Demonstrated ability to lead technically through direct contribution, mentorship, and architectural decision-making.
Strong system-level thinking with focus on reliability, scalability, cost, and operational constraints.
Clear communication skills to explain technical decisions to cross-functional stakeholders.

Responsibilities

Act as the day-to-day technical lead for applied ML projects within the Frontier Models & Spatial Intelligence team.
Design, implement, and iterate on ML systems that analyze 2D drawings and BIM data to detect clashes and constructability risks.
Lead hands-on development of model training, evaluation, and inference pipelines.
Drive POC and exploratory work to validate approaches and reduce ambiguity.
Ensure long-term health, performance, and maintainability of ML codebases and systems.
Set and uphold engineering quality standards through code reviews and mentorship.
Collaborate with partner teams to integrate spatial intelligence systems into Procore’s platform.
Identify and address architectural gaps or operational concerns.