Faire is looking to solve the problem of helping local retailers compete with Amazon and big box stores using machine learning.
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
- Ability to contribute to team strategy and to lead model development without supervision
Responsibilities
- Personalizing recommendation surfaces through embeddings, near-real-time / streaming signals, explore-exploit, and diversification
Other
- 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 (highly recommended)
- Ability to quickly implement state of the art algorithms from an academic paper (great to have)
- In-office work on a hybrid schedule (2 days per week)
- Flexibility to work remotely up to 4 weeks per year
