Machine Learning Engineer, Recommendation - E-Commerce
Core
Design and build large-scale e-commerce recommendation algorithms to connect customers with quality products on TikTok Shop via live-streaming and short videos.
Role type
Senior IC machine learning engineer (recommendation systems)
Builds
Real-time recommendation pipelines for candidate generation and ranking
Domain
E-commerce, large-scale machine learning, multi-modal technology
Deliverable
production ML models
Required skills
Python, Java, C++, R, TensorFlow, PyTorch, MXNet, data structure and algorithm design, causal inference, operational optimization algorithms, big data frameworks (MR, Spark)
Preferred skills
Recommendation systems, online advertising, ranking, search, information retrieval, NLP, large-scale data mining, publications at top ML conferences
Technologies
TensorFlow, PyTorch, MXNet, MR, Spark
Responsibilities
Build and design optimization algorithm strategies for large-scale e-commerce recommendation pipelines; Build long and short term user interest models; Design, develop, evaluate and iterate on predictive models for candidate generation and ranking; Design and build supporting/debugging tools
Seniority
Mid-level, hands-on IC
