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← Faire

Senior Staff Machine Learning Platform Engineer

Faire
Location
Remote - US; San Francisco, CA
Posted
1 month ago
Department
Algorithms & Data
Salary
$295,000 to $405,500
What they actually want (must-haves)
  • 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
  • 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
Nice to have
  • Experience integrating LLM workflows into enterprise platforms
  • Previous contributions to open source ML Infrastructure projects or research publications
What the job really is

As a Senior Staff Machine Learning Platform Engineer at Faire, you will lead the technical vision and evolution of the company's machine learning platform. Your responsibilities include defining architecture, establishing coding standards, and optimizing ML workflows to support data science initiatives. You will also mentor engineers, represent Faire at conferences, and stay updated on advancements in machine learning and AI.

Benefits
  • Competitive pay
  • Equity
  • Comprehensive benefits designed to support your life inside and outside of work
  • Flexibility to work remotely up to 4 weeks per year
Things to weigh
  • No specific mention of work-life balance policies
  • Salary range provided only for California, not for other locations
  • Hybrid work model requires in-office attendance 3 days per week
Job score4.2/5
Benefits2/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency5/5

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