Staff Machine Learning Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌵 Arizona, California, +28 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🐎 Kentucky – Remote 🦞 Maine – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $246.5k - $339k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Faire

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

🤝 B2B

🛍️ eCommerce

🛒 Retail

B2B • eCommerce • Retail

Faire is a wholesale marketplace that connects independent retailers with unique products from global brands. It offers a platform for retailers to discover and purchase products that resonate with their customers, featuring various categories including women-owned, eco-friendly, and handmade items. With benefits like easy returns on first orders and flexible payment options, Faire aims to simplify the purchasing experience for retailers while supporting diverse and local brands.

📋 Description

• 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 to use the ML platform to advance development from notebook to production • 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 such as GitHub Actions • Optimize performance, reliability, and cost across training and inference workloads • Configure IAM and RBAC for sensitive data sets • Establish observability for data quality, model performance, and platform health • Build and maintain ML Platform technical documentation

🎯 Requirements

• 8+ years of experience building production ML or data platforms • A degree in Computer Science, Engineering, Statistics, or a related technical field; graduate level preferred • 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, including CI/CD, monitoring, reproducibility, and security • Experience supporting multiple ML teams in a shared platform environment • Proficiency or familiarity with Kotlin, PyTorch, Kafka, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL, AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform, Claude Sonnet 4.5, and ChatGPT 5.2 • Willingness to take ownership of orphaned problems and acquire missing knowledge

🏖️ Benefits

• Equity • Comprehensive benefits • Competitive pay • Latest enterprise AI tools • Equal access to opportunities, growth, and success • Reasonable accommodations throughout the recruitment process