Senior Staff Machine Learning Platform Engineer

Faire
Waterloo, Toronto, Ontario, San Francisco
Workplace: HybridFull time248,000 - 341,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 10-12 yearsSkills: ["Technical leadership","Cross-functional collaboration","Influencing without authority","Mentoring","Architecting scalable systems"]

Own the technical vision and evolution of the ML platform, setting org-wide standards across training, inference, feature management, governance, and MLOps. Lead complex initiatives that increase data science velocity, architect scalable workflows with Spark, Delta Lake, and MLflow, and optimize reliability, performance, and cost. Drive adoption of Unity Catalog and advanced data/ML mesh patterns, serve as a senior ML advisor, and mentor ML engineers.

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Faire
Faire
2 months ago

Senior Staff Machine Learning Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own the technical vision and evolution of the ML platform, setting org-wide standards across training, inference, feature management, governance, and MLOps. Lead complex initiatives that increase data science velocity, architect scalable workflows with Spark, Delta Lake, and MLflow, and optimize reliability, performance, and cost. Drive adoption of Unity Catalog and advanced data/ML mesh patterns, serve as a senior ML advisor, and mentor ML engineers.
Location: Waterloo, Toronto, Ontario, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Define and drive the long-term architecture of Faire’s 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 and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns.
  • •Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow.
  • •Mentor ML engineers and serve as a senior ML technical advisor to data science and production engineering teams.

Pay and Benefits

Salary: 248,000 - 341,000 annually
Equity and Bonus:Equity

Key Requirements

  • •10-12 years of experience building and improving large-scale ML or data platforms.
  • •A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
  • •Deep expertise in Databricks lakehouse architecture, including governance via Unity Catalog, orchestration via Workflows, 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 systemsML infrastructure
Education:
Skills:Technical leadershipCross-functional collaborationInfluencing without authorityMentoringArchitecting scalable systems
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