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.
Ask before you apply
- What are the interview steps, and when should I expect to hear back?
Next steps
Apply on the employer's page Full listingDoes my CV fit?Practise the interviewShould I apply?
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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

