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Staff Machine Learning Platform Engineer

San Francisco, CA💼 Full-time💰 $246,500–$246,500🗓 2026-05-30 → 2026-07-31

Core

Design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance for Faire's data science teams.

Role type

Staff Machine Learning Platform Engineer

Builds

Scalable ML infrastructure, CI/CD pipelines, and governance systems for production ML workloads.

Domain

Wholesale e-commerce / Machine Learning Infrastructure

Deliverable

infrastructure

Required skills

Databricks, Spark, Delta Lake, MLflow, Python, SQL, Terraform, Kubernetes, AWS, MLOps, CI/CD, IAM/RBAC, observability

Preferred skills

Unity Catalog, Airflow, Snowflake, Kafka, PyTorch, Generative AI tools

Technologies

Databricks, Spark, Delta Lake, MLflow, Terraform, Kubernetes, AWS, SageMaker, Kafka, Snowflake, Airflow, PyTorch, Unity Catalog

Responsibilities

Design and operate ML infrastructure including workspaces, clusters, and workflows; Productionize ML workloads; Teach data scientists to utilize the ML platform; Implement data governance and access controls; Build CI/CD pipelines; Optimize performance and cost; Configure IAM and RBAC; Establish observability for data quality and model performance.

Seniority

Staff, hands-on IC with strategic scope

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