Senior Staff Machine Learning Platform Engineer

Faire
San Francisco
Workplace: RemoteFull timeUSD 295,000 - 405,500 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 10-12 yearsSkills: ["Technical leadership","Influencing without authority","Mentoring"]

Own the technical vision and evolution of Faire’s ML platform, setting org-wide standards for MLOps, experimentation, model lifecycle, and observability. Lead cross-functional initiatives that accelerate data science at scale, including adoption of Unity Catalog and scalable ML workflows with Spark, Delta Lake, and MLflow. Optimize for performance, reliability, and cost, evaluate emerging Databricks features, and serve as a senior ML advisor and mentor across teams.

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Faire
Faire
2 days ago

Senior Staff Machine Learning Platform Engineer

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Last checked: 5 hours agoStatus: Live

Job Summary

Own the technical vision and evolution of Faire’s ML platform, setting org-wide standards for MLOps, experimentation, model lifecycle, and observability. Lead cross-functional initiatives that accelerate data science at scale, including adoption of Unity Catalog and scalable ML workflows with Spark, Delta Lake, and MLflow. Optimize for performance, reliability, and cost, evaluate emerging Databricks features, and serve as a senior ML advisor and mentor across teams.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Define and drive long-term architecture for the ML platform, including training, inference, feature management, and governance.
  • •Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability.
  • •Lead adoption of Unity Catalog and multi-workspace strategies, applying data/ML mesh patterns.
  • •Architect scalable ML workflows using Spark, Delta Lake, and MLflow; optimize performance, reliability, and cost.
  • •Serve as senior ML technical advisor and mentor ML engineers; represent Faire at ML conferences and meetups.

Pay and Benefits

Salary: USD 295,000 - 405,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •10-12 years of experience building and improving large-scale ML or data platforms.
  • •Preferably a graduate degree in Computer Science, Engineering, Statistics, or a related technical field.
  • •Deep expertise in Databricks lakehouse architecture, including Unity Catalog governance, Workflows orchestration, and cost optimization.
  • •Proven ability to design systems supporting multiple data science teams and production workloads.
  • •Strong background in distributed systems, ML infrastructure, and cloud architecture.
Experience:10-12 yearsMachine learningData platformsDistributed systems
Education:
Skills:Technical leadershipInfluencing without authorityMentoring
Languages:English
Tech Stack:PythonSQLKotlinPyTorchPySparkMLFlowSparkKafkaDatabricksSnowflakeFivetranIcebergUnity CatalogDatadogAirflowCockroach DBMySQLAWSS3SageMaker

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