Machine Learning Engineer - Ads Delivery and Optimization - 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 newly established team building Ads Delivery and Advertiser Optimization.
• Work on cutting-edge search, personalization, and ads problems.
• Utilize machine learning to help local retailers and independent brands succeed.
• Be a foundational team member of a fast-growing company.
• Collaborate with experienced Data Scientists and Machine Learning Engineers.
• Drive significant business impact through technical strategy.
• Contribute to team strategy and lead model development.
• Strong programming skills required.
• Experience with deep learning is a plus.
• Work in a closely collaborative team environment.

Requirements

• 5+ years of industry experience using machine learning.
• Strong understanding of search, personalization, and ads.
• Ability to implement state-of-the-art algorithms.
• Master’s or PhD in Computer Science or related fields is highly recommended.
• Excitement and willingness to learn new tools and techniques.
• Strong communication skills.

Benefits

• Competitive salary range of $209,500 to $288,000 per year.
• Eligible for equity and benefits.
• Flexible remote work options.
• Opportunity to work with a talented team from top tech companies.
• Contribute to a mission-driven company supporting local businesses.