Staff ML Data Engineer — Frontier Models (Hybrid SF)

Procore Technologies; San Francisco (CA); Hybrid; USD 227,000 - 313,000; Full time

Benefits offered by this job

Equity compensation

Bonus incentive compensation

Job summary

Procore Technologies seeks a Staff ML Data Engineer to design and build data systems powering frontier-scale machine learning research and AI products. You will focus on spatial intelligence and multimodal data, enabling researchers and engineers to discover, curate, transform, and operate on large datasets from experimentation to production.

You’ll collaborate with ML researchers, applied ML engineers, and system architects to translate needs into scalable, production-ready pipelines, while

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience designing and operating complex data systems in production or research-adjacent environments.
• Strong proficiency in SQL and Python; experience with data-intensive or distributed systems.
• Proven experience building scalable data pipelines that support machine learning training, evaluation, or inference workflows.
• Solid understanding of data modeling, dataset lifecycle management, and data quality best practices.
• Comfort operating in highly ambiguous problem spaces and collaborating closely with researchers and architects.
• Demonstrated ability to lead through direct technical contribution, mentorship, and setting engineering standards.
• Strong communication skills, with the ability to explain technical tradeoffs to both research and engineering audiences.

Responsibilities

• Act as the technical lead for data engineering efforts supporting frontier model research and applied ML systems.
• Design, build, and maintain scalable batch and streaming pipelines for multimodal data (documents, images, spatial metadata).
• Partner with researchers and architects to translate experimental workflows into reliable, repeatable data systems.
• Lead the development of dataset curation, versioning, and lineage workflows that support rapid experimentation and reproducibility.
• Establish and uphold standards for data quality, validation, observability, and cost efficiency across AI data pipelines.
• Contribute to data architecture decisions spanning research environments and production systems.
• Identify gaps or inefficiencies in existing data workflows and run proofs-of-concept to evaluate improvements.
• Mentor other engineers through code reviews, design discussions, and hands-on collaboration.

Skills

Data pipelines

SQL

Python

Data modeling

Data quality

Leadership

Communication

Ambiguity handling

Education

Bachelor’s or Master’s degree in CS/Engineering or related field

Tools

Databricks

Spark

Lakehouse

Airflow

Dagster

Kafka

Job description

Procore Technologies seeks a Staff ML Data Engineer to design and build data systems powering frontier-scale machine learning research and AI products. You will focus on spatial intelligence and multimodal data, enabling researchers and engineers to discover, curate, transform, and operate on large datasets from experimentation to production.

You’ll collaborate with ML researchers, applied ML engineers, and system architects to translate needs into scalable, production-ready pipelines, while