Senior Staff Machine Learning Platform Engineer
Summary generated from the verified employer listing
Faire seeks a Senior Staff Machine Learning Platform Engineer to lead the technical vision and evolution of its ML infrastructure. This remote role, available in specific US states, requires 10-12 years of experience in large-scale data platforms and deep expertise in Databricks lakehouse architecture. The engineer will define long-term architecture for training, inference, and governance while establishing company-wide standards for MLOps and code quality. Responsibilities include architecting scalable workflows using Spark and MLflow, optimizing platform performance, and mentoring engineering teams. The position offers a California salary range of $295,000 to $405,500, along with equity and comprehensive benefits.
Key details
- Salary range for California is $295,000 to $405,500 annually, plus equity and benefits.
- Requires 10-12 years of experience in large-scale ML or data platform development.
- Mandatory proficiency in Databricks, Spark, Delta Lake, and MLflow.
- Open to remote candidates in specific US states, including California and New York.
- Involves defining long-term ML architecture and establishing company-wide MLOps standards.