Senior ML Platform Architect — Scale & Governance

Faire; San Francisco (CA); Hybrid; USD 295,000 - 405,500; Full time

Benefits offered by this job

Competitive pay

Equity

Comprehensive benefits

Job summary

Faire is seeking a Senior Staff Machine Learning Platform Engineer in San Francisco, CA. You will define the technical vision for our ML platform, set standards for architecture, and lead complex initiatives that enhance data science capabilities.

The ideal candidate will have over 10 years of experience in building ML platforms, a degree in Computer Science, and expertise in Databricks and cloud architectures. The role offers a hybrid work model and competitive compensation.

Qualifications

• 10-12 years of experience in large-scale ML or data platforms.
• Experience with Databricks lakehouse architecture, governance, and orchestration.
• Ability to design systems supporting multiple data science teams.

Responsibilities

• Define and drive architecture of the ML platform.
• Establish standards for code quality and MLOps.
• Mentor ML engineers to improve overall capabilities.

Skills

Machine Learning expertise

Cloud Architecture

Databricks lakehouse architecture

Distributed systems

Technical leadership

Education

Degree in Computer Science or related field

Tools

Python

SQL

AWS

Kubernetes

Job description

Faire is seeking a Senior Staff Machine Learning Platform Engineer in San Francisco, CA. You will define the technical vision for our ML platform, set standards for architecture, and lead complex initiatives that enhance data science capabilities.

The ideal candidate will have over 10 years of experience in building ML platforms, a degree in Computer Science, and expertise in Databricks and cloud architectures. The role offers a hybrid work model and competitive compensation.