Senior Staff Machine Learning Platform Engineer

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, and observability
• Lead the adoption of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
• Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
• Optimize the performance, reliability, and cost of the ML platform
• Serve as a senior technical advisor to data science and production engineering teams
• Mentor ML engineers and raise the overall technical bar for Machine Learning at Faire

Requirements

• 10-12 years of experience building and improving large-scale ML or data platforms
• Degree in Computer Science, Engineering, Statistics, or a related technical field
• Deep expertise in Databricks lakehouse architecture, including Unity Catalog and orchestration via Workflows
• Strong background in distributed systems, ML infrastructure, and cloud architecture
• Proven ability to design systems that support multiple data science teams and production workloads
• Demonstrated technical leadership and the ability to influence across organizations

Preferred Qualifications

• Experience integrating LLM workflows into enterprise platforms
• Previous contributions to open source ML infrastructure projects or research publications

Benefits

• Competitive pay and equity
• Comprehensive benefits designed to support life inside and outside of work
• Access to the latest enterprise AI tools and a high-growth environment

About the Company

Faire is a technology wholesale platform built on the belief that the future is local. We use the power of tech, data, and machine learning to connect independent retailers around the globe with the best products from around the world, helping small businesses grow and local communities thrive.