or apply directly on Faire's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 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 Staff Applied AI/ML Scientist at Faire, you will lead the development of machine learning models that enhance the experience of independent retailers in a two-sided marketplace. Your responsibilities include driving data science strategies, optimizing marketing efforts, and mentoring other scientists while working with diverse data types to solve complex problems related to personalization and marketplace quality.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- 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
- 5+ years of industry experience using machine learning to solve real-world problems
- Experience with relevant business problems (e-commerce, marketplaces, growth, personalization, incentives, or trust and quality)
- Experience with relevant technical methods (causal inference, predictive/LTV modeling, recommendations, information extraction, entity resolution, and/or deep learning and LLMs)
- Strong programming skills
- Experience as a tech lead, mentoring other scientists or machine learning engineers
- Strong communication skills and the ability to work in a highly cross-functional team
Nice to have
- Master's or PhD in Computer Science, Statistics, or related STEM fields
- Experience as a tech lead manager or people manager of applied ML / data science teams
- Previous experience in marketplace growth, incentive optimization, or trust and quality for a two-sided platform
- Previous experience with deep learning or language models
What you get
- Competitive pay
- Equity
- Comprehensive benefits designed to support your life inside and outside of work
- Hybrid work model with flexibility to work remotely up to 4 weeks per year
Worth weighing
- No specific technologies or tools mentioned, which may indicate a need for adaptability
- The role involves leading and mentoring, which may require strong interpersonal skills and experience in team dynamics
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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