Staff Machine Learning Platform Engineer

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

* Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows * Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows * Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models * Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage * Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions) * Optimize performance, reliability, and cost across training and inference workloads * Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets * Establish observability for data quality, model performance, and platform health * Build and maintain ML Platform technical documentation

* 8+ years of experience building production ML or data platforms * A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field * Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow. * Proficiency in Python, SQL, and distributed systems concepts * Experience with cloud platforms and infrastructure-as-code * Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security * Experience supporting multiple ML teams in a shared platform environment * Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

* Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. * Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. * Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. * Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. * Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.