Applied Scientist, Recommendation, E-Commerce Alliance
Core
Developing and implementing innovative machine learning solutions for recommendation systems to serve billions of queries and products in E-Commerce.
Role type
Senior IC Applied Scientist (Recommendation Systems)
Builds
Large-scale online recommendation models serving TikTok users and e-commerce merchants
Domain
E-Commerce, Recommendation Systems
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Data mining, NLP, Computer Vision, Recommendation algorithms, Online learning, Python, C++, Java
Preferred skills
Reinforcement learning, Kaggle/Top conference modeling records, ICPC/IOI/USACO programming records, E-commerce recommendation experience, Academic publications
Technologies
Python, C++, Java, NLP, CV
Responsibilities
Design and deploy large recommendation models in online learning manner; Utilize ML/NLP/CV techniques on real-world signals; Analyze complex datasets to extract insights; Design and execute experiments to optimize recommendation functions; Stay abreast of latest advances in ML and recommendation systems.
Seniority
Senior, hands-on IC
