# Staff Machine Learning Platform Engineer at Faire

- Company: Faire
- What the company does: Backed by Founders Fund, Lightspeed and Norwest.
- Company website: https://faire.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA
- Work setup: On-site
- Pay: $247K to $339K base salary per year (USD)
- Posted: 2026-02-17
- Apply by: 2026-10-08
- Apply: https://boards.greenhouse.io/faire/jobs/8426107002?gh_jid=8426107002
- Page: https://www.1752.vc/careers/jobs/faire-staff-machine-learning-platform-engineer/

## About the role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

## What they're looking for

- Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
- Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
- Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
- Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
- Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
- Optimize performance, reliability, and cost across training and inference workloads

Tags: Algorithms & Data