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Faire

Senior Staff Machine Learning Platform Engineer

Faire · Remote - US; San Francisco, CA

Posted 28 days ago · $295,000 to $405,500

or apply directly on Faire's site. We never take the application ourselves.

Is this posting real?

This role has been open
28 days
Faire's roles stay open a median of 45 days
Reposted
No
Salary listed
Yes
71% of Faire's roles list one
Ghost-job risk at Faire
high
43 stale, 1 reposted of 62 open
Hiring momentum
93 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Faire's own greenhouse board since 2026-08-03. Full hiring picture for Faire.

About this role

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.

Our read on this posting4.2out of 5
benefits
2/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Faire as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from Faire's posting. Read the full original.

Listed by Faire on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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