Applied Scientist- TikTok E-Commerce Recommendation
Core
Designing and building large-scale e-commerce recommendation algorithms and systems for TikTok Shop, including commodity, live stream, and short video recommendations.
Role type
Senior Applied Scientist (Recommendation Systems)
Builds
Large-scale recommendation algorithms and real-time data pipelines for TikTok E-commerce
Domain
E-commerce, Machine Learning, Recommendation Systems
Deliverable
production ML models
Required skills
Recommendation algorithms, User interest modeling, Predictive modeling (CTR/CVR), Feature engineering, Model optimization, Real-time data pipelines, Large-scale data mining
Preferred skills
Deep learning frameworks (TensorFlow, PyTorch), Solving complex problems
Technologies
TensorFlow, PyTorch
Responsibilities
Build long and short term user interest models; Design and develop predictive models for candidate generation and ranking; Design and build supporting/debugging tools
Seniority
Senior, hands-on IC
