Job brief: Staff Applied AI/ML Scientist, Acquisition

Faire · San Francisco, CA · facts as of 2026-11-14. Anyone can open this page; no account needed.

Is it still open? · Checked by JoRoute

Still listed. JoRoute saw it on Faire's own job board 4 hours ago; the employer first posted it on 2026-11-13.

What JoRoute checked · Checked by JoRoute

  • Listed on Faire's own job board. JoRoute does not take listings from job ads or recruiters.
  • First seen by JoRoute 2026-11-14 (today); last confirmed on the board 2026-11-14.
  • The apply link opens boards.greenhouse.io, the address Faire's board gives for this job.
  • No other listing with this title and place on this board in the last 90 days.
  • No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

  • Pay: $246,500 to $339,000 a year
  • Job type: Not stated
  • Where: San Francisco, CA
  • Posted: 2026-11-13

What the job asks · Employer's own words, not checked

Level: Lead / staff. The title says "Staff".

Must have

  • 5+ years of industry experience using machine learning to solve real-world problems.
  • Highly recommended: Master's or PhD in Computer Science, Statistics, Economics, or related STEM fields.

Conditions

  • Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).
  • Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.

Main duties

  • Drive AI/ML vision, strategy, and roadmap for Acquisition and Paid Marketing, and act as a pod lead across cross-functional workstreams.
  • Optimize paid marketing spend, bidding, and budget allocation across channels such as search, social, and Performance Max.
  • Design experiments to measure the incremental impact of paid channels and spend levers, and turn the results into investment decisions.
  • Develop keyword, SEO, and AEO intelligence that identifies and prioritizes the search and content opportunities most likely to bring high-value retailers to …
  • Build audience and targeting models for retargeting campaigns.

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

  • Across Faire's 63 open listings, 32% of those with a posting date were first posted more than 60 days ago. How Faire hires

What nobody outside the employer knows · Not known

  • Whether the role is already filled or on hold: employers often leave listings up.
  • How many people applied, and who reads the applications.
  • Where in the published range an offer would land.

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  1. What are the interview steps, and when should I expect to hear back?

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A summary of facts and listings, not a verdict that this job or employer is safe. JoRoute is not affiliated with Faire. How JoRoute checks listings · Original posting