Senior Staff Machine Learning Platform Engineer

🔥 0 minutes ago

🌵 Arizona, California, +29 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – 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

💵 $295k - $405.5k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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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

• Own the technical vision and evolution of Faire’s ML platform • Define and drive the long-term architecture for training, inference, feature management, and 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 scalable ML workflows using Spark, Delta Lake, and MLflow • Optimize ML platform performance, reliability, and cost • Evaluate and integrate emerging Databricks features • Engage with the latest developments in machine learning and AI • Advise Faire’s data science and production engineering teams as a senior ML technical advisor • Represent Faire at ML conferences and meetups • Mentor ML engineers and raise the overall machine learning standard at Faire

🎯 Requirements

• 10–12 years of experience building and improving large-scale ML or data platforms • A degree in Computer Science, Engineering, Statistics, or a related technical field; graduate level preferred • Deep expertise in Databricks lakehouse architecture, Unity Catalog governance, Workflows orchestration, and cost optimization • Ability to design systems supporting multiple data science teams and production workloads • Strong background in distributed systems, ML infrastructure, and cloud architecture • Demonstrated technical leadership across teams and organizations; ability to influence without authority • Proficiency with Python, SQL, Kotlin, PyTorch, PySpark, MLflow, Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, CockroachDB, MySQL, AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform, Claude Sonnet 4.5, and ChatGPT 5.2 • Experience integrating LLM workflows into enterprise platforms is a plus • Contributions to open source ML infrastructure projects or research publications are a very strong plus

🏖️ Benefits

• Equity • Comprehensive benefits • Competitive pay • Latest enterprise AI tools • Flexible remote work up to 4 weeks per year for hybrid in-office roles • Equal access to opportunities, growth, and success • Reasonable accommodation throughout the recruitment process