Staff Applied AI / ML Scientist - Ads

Staff Applied AI / ML Scientist - Ads

Faire is an online wholesale marketplace built on the belief that the future is local independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About This Role

The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you'll shape the future of our ads system at Fairefrom retrieval and ranking to auction design and bidding strategy. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands.

This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll have a massive impact in shaping the platform that connects independent retailers and brands. You'll work closely with engineers, product managers, and designers to launch and iterate on systems that are not just technically sophisticated, but also directly drive improvements to the bottom line for both brands and Faire.

What You'll Do

• Own the end-to-end development of ML models across the ads stackfrom 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 pacingdrawing 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 benot 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)

Qualifications

Great to Haves

Salary Range :

California : the pay range for this role is $224,000 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

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. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date.

Why you'll love working at Faire