Opportunity at
FaireStaff Applied AI/ML Scientist
Faire operates a global online wholesale marketplace that connects independent retail shop owners with brands, utilizing data and machine learning to support local commerce. The company…
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About This Role
Faire operates a global online wholesale marketplace that connects independent retail shop owners with brands, utilizing data and machine learning to support local commerce. The company is currently hiring a Staff Applied AI/ML Scientist to work on site at its San Francisco office on a hybrid schedule. In this position, the technical lead will steer the strategy, vision, and implementation of algorithms that drive the two-sided marketplace. The individual will…
Job Description
Faire operates a global online wholesale marketplace that connects independent retail shop owners with brands, utilizing data and machine learning to support local commerce. The company is currently hiring a Staff Applied AI/ML Scientist to work on site at its San Francisco office on a hybrid schedule.
In this position, the technical lead will steer the strategy, vision, and implementation of algorithms that drive the two-sided marketplace. The individual will handle complex challenges spanning recommendation engines, financial optimization, lifetime value calculations, and large language models. This role is a fit for experienced machine learning professionals who want to shape algorithmic architectures, mentor teammates, and empower independent business owners.
Faire provides employees with compensation that includes equity and benefits, alongside modern AI tooling. Team members work in the office three days per week with flexibility to operate remotely for up to four weeks annually.
Responsibilities
- Manage the complete data science lifecycle from strategy to execution while serving as a pod lead across multiple cross-functional initiatives
- Design personalized discovery tools, ranking systems, retrieval algorithms, and retailer-level embeddings
- Enhance customer acquisition, marketing programs, and incentive spending efficiency through targeted personalization and causal inference
- Forecast customer lifetime value to tailor early user experiences and prioritize sales operations
- Build cold-start recommendation solutions to accelerate matching for new platform users and product selections
- Extract actionable information from internal and external data sources including reviews, search logs, and referrals
- Utilize deep learning, multimodal language models, and human-in-the-loop validation to parse content and flag policy violations or counterfeits
- Re-engage consumers through customized marketing strategies and discover avenues for marketplace growth
- Supervise or mentor senior team members and analytics engineers
Requirements
- Minimum of five years of professional background applying machine learning to practical problems
- Background working on marketplace, e-commerce, personalization, growth, incentive, or trust and quality problems
- Proficiency in technical methodologies such as deep learning, LLMs, causal inference, LTV modeling, or information extraction
- Demonstrated software engineering capabilities
- Prior background acting as a technical lead directing model development and mentoring engineers without direct supervision
- Strong communication abilities for collaborating within cross-functional teams
Qualifications
- Master's degree or PhD in Computer Science, Statistics, or an associated STEM discipline
- Prior leadership background as a technical lead manager or people manager overseeing applied data science teams
- Specialized past exposure to marketplace expansion, trust and quality maintenance, or incentive tuning
- Familiarity with language models and deep learning architectures
Core Skills
Benefits
- Competitive financial compensation and equity
- Comprehensive benefits package
- Access to enterprise AI tools and resources
- Up to four weeks of remote work flexibility per year
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Staff Applied AI/ML Scientist role?
The pay range in San Francisco spans from $246,500 to $339,000 per year, accompanied by equity and benefits.
Is this position remote?
No, this is a hybrid on-site role located in San Francisco. Employees work from the office three days per week and have the option to work remotely for up to four weeks each year.
What experience level is required for this job?
Candidates must have at least five years of professional experience using machine learning to solve real-world problems, including prior experience acting as a technical lead.
What type of employment is this?
The posting specifies a full-time employment status.
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