As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, 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

Optimize performance, reliability, and cost of the ML platform

Evaluate and integrate emerging Databricks features

Stay ahead of the curve by engaging with the latest developments in machine learning and AI

Serve as senior ML technical advisor to Faire’s data science and production engineering teams

Represent Faire at ML conferences and meetups

Mentor ML engineers and raise the overall bar for Machine Learning at Faire

10-12 years of experience building and improving large-scale ML or data platforms.

Senior Staff Machine Learning Platform Engineer

Responsibilities

Qualification

Required

Benefits

Company

Faire

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