Senior Staff Machine Learning Platform Engineer

Faire is seeking a Senior Staff Machine Learning Platform Engineer to lead the technical vision and evolution of its machine learning infrastructure. This remote role, available to candidates in Ontario, involves defining long-term architecture for training, inference, and feature management while establishing company-wide standards for MLOps and observability. The engineer will architect scalable workflows using Databricks, Spark, and MLflow, and serve as a senior technical advisor to data science teams. The position requires ten to twelve years of experience in large-scale ML platforms, a technical degree, and strong expertise in distributed systems and cloud architecture. Compensation ranges from $248,000 to $341,000 per year, plus equity and benefits.

Key details

• Compensation is listed between $248,000 and $341,000 annually, with additional equity and benefits.
• Candidates must possess ten to twelve years of experience in large-scale machine learning or data platforms.
• The role requires deep expertise in Databricks lakehouse architecture, Unity Catalog, and distributed systems.
• Proficiency in Python, SQL, Kotlin, Spark, and AWS infrastructure is expected.
• The position involves defining long-term ML platform architecture and establishing company-wide MLOps standards.