Staff ML Platform Engineer - Remote

Faire; United States; On-site; USD 247,000 - 339,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Faire is seeking a Staff Machine Learning Platform Engineer to design, improve, and operate a scalable ML platform that accelerates model training, deployment, and governance. You will be the technical bridge between data science and production engineering, joining a small but critical team supporting thousands of local businesses.

You will design ML infrastructure, productionize workloads, teach data scientists, and implement governance and security across multiple ML teams in a shared platform

Qualifications

• 8+ years building production ML or data platforms.
• Degree in Computer Science, Engineering, Statistics, or related field.
• Strong hands-on with Databricks, Spark, Delta Lake & MLflow.

Responsibilities

• 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 from notebook to production.
• Implement Unity Catalog for data governance and secure multi-tenant usage.

Skills

ML Platform

Distributed systems

Python

SQL

Cloud and IaC

MLOps

Team collaboration

Education

CS/Engineering/Stats degree

Tools

Databricks

Spark

Delta Lake

MLflow

Job description

Faire is seeking a Staff Machine Learning Platform Engineer to design, improve, and operate a scalable ML platform that accelerates model training, deployment, and governance. You will be the technical bridge between data science and production engineering, joining a small but critical team supporting thousands of local businesses.

You will design ML infrastructure, productionize workloads, teach data scientists, and implement governance and security across multiple ML teams in a shared platform