Note: The job is a remote job and is open to candidates in USA. Faire is a technology wholesale platform that uses technology, data, and machine learning to connect independent retailers with products from around the world. The Senior Staff Machine Learning Platform Engineer will own the technical vision and evolution of Faire’s ML platform, establish organization-wide standards, and lead complex initiatives that improve data science velocity at scale. The role will architect scalable ML workflows, optimize platform performance and reliability, advise technical teams, and mentor ML engineers.
Responsibilities
- Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, 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 highly scalable ML workflows using Spark, Delta Lake, and MLflow
- Optimize performance, reliability, and cost of the ML platform
- Evaluate and integrate emerging Databricks features
- Stay ahead of the curve by engaging with the latest developments in machine learning and AI
- Serve as senior ML technical advisor to Faire’s data science and production engineering teams
- Represent Faire at ML conferences and meetups
- Mentor ML engineers and raise the overall bar for Machine Learning at Faire
Skills
- * 10-12 years of experience building and improving large-scale ML or data platforms
- * A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
- * Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
- * Proven ability to design systems that support multiple data science teams and production workloads
- * Strong background in distributed systems, ML infrastructure, and cloud architecture
- * Demonstrated technical leadership across teams and orgs; ability to influence without authority
- | **Languages** | Python, SQL, Kotlin |
- | **ML Frameworks** | PyTorch, PySpark, MLFlow |
- | **Big Data & Processing** | Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL |
- | **Cloud & Infrastructure** | AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform |
- | **Generative AI** | Claude Sonnet 4.5, ChatGPT 5.2 |
- * Experience integrating LLM workflows into enterprise platforms is a plus
- * Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Benefits
- This role will also be eligible for equity and benefits.
- The latest enterprise AI tools to help you work smarter and get more out of every day.
- Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).
- Hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Company Overview
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