Senior Data Scientist / Machine Learning Engineer - Ads - Remote

Overview

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.

In Short

• Join a team focused on Ads Delivery and Advertiser Optimization.
• Work on challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design.
• Collaborate with experienced professionals from leading tech companies.
• Engage in cutting-edge search, personalization, and ads problems.
• Contribute to the success of local retailers and independent brands.
• Be part of a fast-growing company with significant product impact.
• Work with a variety of data about retailers, brands, and products.
• Utilize machine learning to solve real-world problems.
• Engage in a collaborative team environment.
• Flexible remote work policy, with some in-office requirements.

Requirements

• 4 years of industry experience in machine learning.
• Strong understanding of search, personalization, and ads.
• Proficient programming skills.
• Willingness to learn new tools and techniques.
• Experience with deep learning.
• Ability to lead model development without supervision.
• Strong communication skills.
• Master’s or PhD in Computer Science or related fields (preferred).
• Ability to implement algorithms from academic papers.

Benefits

• Competitive salary range.
• Eligibility for equity and benefits.
• Opportunity to work in a hybrid schedule.
• Work with a talented team from top tech backgrounds.
• Contribute to meaningful economic impact in local communities.
• Engage in innovative product development.
• Access to a growing community of small business owners.
• Flexible work arrangements with remote options.
• Supportive and inclusive work environment.
• Continuous learning and development opportunities.