Staff ML Data Engineer - Frontier AI Pipelines

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

Benefits offered by this job

Equity compensation

Bonus incentive

Job summary

Procore Technologies in San Francisco is seeking a Staff ML Data Engineer to design and operate data systems powering frontier‑scale ML research and AI products, with a focus on spatial intelligence and multimodal data. You’ll lead data pipelines, collaborate with researchers and architects, and mentor engineers while ensuring data quality, observability, and production readiness in a hybrid onsite role.

This role requires strong SQL/Python, 8+ years of experience, and the ability to translate

Qualifications

• 8+ years designing and operating complex data systems in production or research‑adjacent environments.

Responsibilities

• Act as 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 dataset curation, versioning, and lineage workflows for rapid experimentation and reproducibility.
• Establish data quality, validation, observability, and cost efficiency across AI data pipelines.
• Contribute to data architecture decisions spanning research environments and production systems.
• Identify gaps in data workflows and run POC improvements.
• Mentor engineers through code reviews, design discussions, and hands‑on collaboration.

Skills

SQL

Python

Data pipelines

Distributed systems

Mentorship

Leadership

Communication

Education

Bachelor's or Master's in CS/Engineering or equivalent

Tools

Databricks

Spark

Lakehouse

Airflow

Dagster

AWS

GCP

CI/CD

Job description

Procore Technologies in San Francisco is seeking a Staff ML Data Engineer to design and operate data systems powering frontier‑scale ML research and AI products, with a focus on spatial intelligence and multimodal data. You’ll lead data pipelines, collaborate with researchers and architects, and mentor engineers while ensuring data quality, observability, and production readiness in a hybrid onsite role.

This role requires strong SQL/Python, 8+ years of experience, and the ability to translate