Senior Staff Machine Learning Platform Engineer

Responsibilities

• Define and drive the long-term architecture of the machine learning platform
• Establish company-wide standards for code quality and MLOps
• Lead adoption of governance tooling and multi-workspace strategies
• Architect scalable ML workflows using Spark and MLflow
• Evaluate and integrate emerging features from the platform ecosystem
• Mentor ML engineers and raise the team’s capabilities

Qualifications

• 10-12 years of experience in large-scale ML or data platforms
• Graduate degree in Computer Science, Engineering, Statistics, or a related field preferred
• Deep expertise in Databricks lakehouse architecture with governance via Unity Catalog
• Proven ability to design systems for multiple data science teams and production workloads
• Strong background in distributed systems, ML infrastructure, and cloud architecture
• Demonstrated technical leadership and influence without authority
• Experience with LLM workflows and contributions to open source ML projects is a plus

Benefits

• Ability to work remotely from select states
• Equity options in the company
• Flexibility for hybrid work with 3 in-office days and additional remote work weeks
• Access to advanced ML and AI productivity tools
• Opportunities for professional development through mentorship and conference participation