Machine Learning Engineer (Recommendation) ,TikTok e-Commerce Alliance
Core
Build and design large-scale machine learning algorithms to model real-time creator interests, optimize product recommendation ranking and recall, and improve conversion efficiency and GMV for TikTok's e-commerce platform.
Role type
Senior IC machine learning engineer (recommendation systems)
Builds
Scalable AI/ML models for creator product recommendations and merchant monetization strategies
Domain
E-commerce, personalized recommendation, real-time data processing
Deliverable
production ML models
Required skills
C++, Python, Big Data tools (Hive SQL, Spark, MapReduce), Deep Learning frameworks (TensorFlow, Pytorch), Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks
Preferred skills
Publications at top-tier ML conferences (KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys)
Technologies
Hive SQL, Spark, MapReduce, TensorFlow, PyTorch
Responsibilities
Build and design large-scale ML algorithms for real-time interest modeling; Optimize commodity relationship mining and ranking for creator product recommendations; Analyze creator and merchant behavior to build targeted algorithm strategies; Support rapid development of e-commerce business models; Deploy AI/ML solutions from theoretical data science models; Run experiments to test deployed model performance and resolve bugs
Seniority
Senior, hands-on IC
