Faire is using the power of tech, data, and machine learning to connect independent retailers and brands around the globe, leveling the playing field for small businesses against large entities. The Ads Data team is building the next generation of advertising products for the wholesale industry to drive improvements to the bottom line for both brands and Faire.
Requirements
- 7+ years of industry experience using machine learning to solve real-world problems, with 3+ years in Ads, Search, Recommendations, or a related large-scale production domain.
- Demonstrated ownership of the full ML lifecycle: from scoping and design through training, deployment, A/B testing, and iteration
- Strong programming skills, with an excitement and willingness to learn new tools and techniques
- Experience with relational databases and SQL
- The ability to contribute to team strategy and to lead model development without supervision
- Ability to quickly implement state of the art algorithms from an academic paper
Responsibilities
- Own the end-to-end development of ML models across the ads stack—from problem framing, solution design, modeling, and implementation to deployment, experimentation, and impact measurement
- Build best-in-class models in areas such as ads retrieval, ranking, auction optimization, bidding, and pacing—drawing from techniques in search/recommendation systems and marketplace optimization
- As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire should be—not just how they’re built
- Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest)
Other
- Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on 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.
- Strong communication skills and the ability to work with others in a closely collaborative team environment
- Master’s or PhD in Computer Science, Statistics, or related STEM fields
