Faire is looking to solve the problem of helping local retailers compete with Amazon and big box stores by using machine learning to improve wholesale and retail experiences.
Requirements
- Experience with leading cross-team and cross-functional technical strategy and roadmap
- 5+ years of industry experience using machine learning to solve real-world problems
- Experience and strong understanding of search / personalization / ads for product development
- Strong programming skills
- Experience with deep learning
Responsibilities
- Joining a newly established team building Ads Delivery and Advertiser Optimization from the ground up
- Tackling challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design
- Working on cutting-edge search / personalization / ads problems combining a wide variety of data about retailers, brands and products
Other
- Master’s or PhD in Computer Science, Statistics, or related STEM fields (highly recommended)
- Strong communication skills and the ability to work with others in a closely collaborative team environment
- Ability to quickly implement state of the art algorithms from an academic paper
- In-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays
- Ability to work remotely up to 4 weeks per year
