2 months ago
Base Salary
$211k - $291k/yr
Responsibilities
- Own applied machine learning projects end-to-end, from problem framing and model development through production deployment and impact measurement.
- Use multimodal deep learning and LLMs to analyze listing content, extract structured attributes, and detect catalog quality issues.
- Improve product imagery through hero image selection, image ordering, cropping, and enhancement.
- Build ranking and bandit-style exploration approaches to learn which content performs best for different audiences.
- Improve listing titles, descriptions, and product information coverage while measuring effects on discovery and conversion.
- Build LLM-as-judge and human-in-the-loop evaluation systems and establish accuracy standards for production decisions.
- Partner with product, engineering, design, and analytics teams to ship models, drive business impact, and improve listings at their source.
- Solve machine learning and marketplace problems in a two-sided platform.
Requirements
- At least 3 years of industry experience using machine learning to solve real-world problems.
- Experience with business problems such as e-commerce, marketplaces, catalog and content quality, search, or personalization.
- Experience with methods including deep learning, LLMs, computer vision, information extraction, entity resolution, ranking, experimentation, or causal inference.
- Strong programming skills.
- Ability to drive projects end-to-end and lead model development with limited supervision.
- Strong communication skills and ability to work cross-functionally.
- A master’s or PhD in Computer Science, Statistics, or a related STEM field is highly recommended.
- Preferred experience includes catalog quality, product attribute extraction, computer vision for e-commerce imagery, search and discovery for two-sided platforms, and LLM evaluation pipelines with labeled data and human-in-the-loop workflows.
Benefits
- Hybrid employees work from the office three days per week on Tuesdays, Thursdays, and one flexible Monday, Wednesday, or Friday, with up to four weeks of remote work per year.
- Eligible for equity and comprehensive benefits.
- Competitive pay and access to enterprise AI tools.
- Equal employment opportunities and reasonable accommodations are provided.
Categories
About Faire
Faire builds a B2B wholesale marketplace that connects independent retailers with consumer brands for product discovery, ordering, and net terms. It monetizes through marketplace commissions and financial services, and provides tools for payments, returns, and analytics to help shops source inventory. Founded in 2017 and headquartered in San Francisco, it operates across North America and Europe and is privately held.