Senior Staff Machine Learning Platform Engineer

Faire is a technology wholesale platform that uses technology, data, and machine learning to connect independent retailers with products from around the world. The Senior Staff Machine Learning Platform Engineer will own the technical vision and evolution of Faire’s machine learning platform, establish organization-wide standards, and lead complex initiatives across training, inference, governance, and platform reliability. The role also advises data science and production engineering teams, evaluates emerging technologies, and mentors machine learning engineers.

Responsibilities:

• 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