Staff ML Data Engineer: Frontier Models & Data Pipelines

Procore Technologies, Inc.; San Francisco (CA); Ibrido; USD 227.000 - 313.000; Tempo pieno

Descrizione del lavoro

Procore Technologies, Inc. is seeking a Staff ML Data Engineer in San Francisco to design and run data systems powering frontier-scale ML research and AI products.

You will collaborate with ML researchers, engineers, and architects to build production-ready pipelines for multimodal data and ensure robust data quality and observability. The role is hybrid with onsite presence in SF at least three days per week and offers technical leadership while remaining hands-on.

Competenze

• Bachelor’s or Master’s in CS/Engineering or related field.
• 8+ years designing complex data systems in production/research environments.
• Strong SQL and Python; experience with data-intensive or distributed systems.
• Proven experience building scalable data pipelines for ML training, evaluation, or inference.
• Understanding of data modeling, dataset lifecycle, and data quality best practices.
• Ability to work in ambiguous spaces and collaborate with researchers/architects.
• Demonstrated ability to lead via technical contribution, mentorship, and setting standards.
• Strong communication to explain tradeoffs to researchers and engineers.

Mansioni

• Act as the technical lead for data engineering supporting frontier model research and ML systems.
• Design, build, and maintain scalable batch and streaming pipelines for multimodal data.
• Translate experimental workflows into reliable, repeatable data systems with researchers and architects.
• Lead dataset curation, versioning, and lineage workflows to support rapid experimentation.
• Establish standards for data quality, validation, observability, and cost efficiency across pipelines.
• Contribute to data architecture decisions spanning research environments and production systems.
• Identify gaps in data workflows and run proofs-of-concept to evaluate improvements.
• Mentor engineers through code reviews, design discussions, and hands-on collaboration.

Conoscenze

SQL

Python

Data pipelines

Data modeling

Dataset lifecycle

Data quality

Observability

Leadership

Communication

Formazione

Bachelor's or Master's in Computer Science or related field

Strumenti

Databricks

Spark

Lakehouse

Kafka

Pub/Sub

Airflow

Dagster

AWS

GCP

CI/CD

Infrastructure-as-code

Descrizione del lavoro

Procore Technologies, Inc. is seeking a Staff ML Data Engineer in San Francisco to design and run data systems powering frontier-scale ML research and AI products.

You will collaborate with ML researchers, engineers, and architects to build production-ready pipelines for multimodal data and ensure robust data quality and observability. The role is hybrid with onsite presence in SF at least three days per week and offers technical leadership while remaining hands-on.