Machine Learning Engineer, E-commerce Feed Recommendation
Core
Design and build large-scale recommendation algorithms for TikTok Shop's live-streaming and short video e-commerce feeds to connect user interests with products.
Role type
Senior IC machine learning engineer (e-commerce recommendation)
Builds
Real-time recommendation systems for candidate generation and ranking serving billions of daily users
Domain
E-commerce, large-scale machine learning, recommendation systems
Deliverable
production ML models
Required skills
Deep learning (TensorFlow/PyTorch), predictive modeling (CTR/CVR), feature engineering, real-time data pipelines, algorithm implementation (Collaborative Filtering, Matrix Factorization, Gradient Boosting, Deep Neural Networks)
Preferred skills
Recommendation system optimization, cold start problem resolution, traffic allocation strategies, NLP, large-scale data mining
Technologies
TensorFlow, PyTorch, C++, Python
Responsibilities
Design and develop predictive models for candidate generation and ranking; Build user interest models to extract latent interests; Develop ML strategies to resolve business challenges like cold start and traffic allocation; Build supporting and debugging tools
Seniority
Senior, hands-on IC