Staff Machine Learning Platform Engineer

Faire
San Francisco, Ontario, Toronto
Workplace: HybridFull timeUSD 246,500 - 339,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsEducation: mastersSkills: ["Python","SQL","Kotlin","Distributed systems","MLOps","Terraform","GitHub Actions"]

Design, build, and operate a scalable ML platform that accelerates model training, deployment, and governance. Bridge between data science and production engineering to support tens of thousands of local businesses, leveraging cloud infrastructure, MLOps best practices, and a modern data stack to enable rapid notebook-to-production workflows.

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Faire
Faire
6 months ago

Staff Machine Learning Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design, build, and operate a scalable ML platform that accelerates model training, deployment, and governance. Bridge between data science and production engineering to support tens of thousands of local businesses, leveraging cloud infrastructure, MLOps best practices, and a modern data stack to enable rapid notebook-to-production workflows.
Location: San Francisco, Ontario, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key 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 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).

Pay and Benefits

Salary: USD 246,500 - 339,000 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years of experience building production ML or data platforms.
  • •A graduate-level degree in Computer Science, Engineering, Statistics, or a related technical field.
  • •Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
  • •Proficiency in Python, SQL, and distributed systems concepts.
  • •Experience with cloud platforms and infrastructure-as-code.
Experience:8+ yearsML platformData platformsDatabricks
Education:Master's
Skills:PythonSQLKotlinDistributed systemsMLOpsTerraformGitHub Actions
Languages:English
Tech Stack:PythonSQLKotlinDatabricksSparkDelta LakeMLflowTerraformGitHub ActionsAWSSageMakerKubernetesDocker

Company Brief

Faire
Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn