Machine Learning Engineer (Recommendation) - Global E-Commerce
Core
Designing and optimizing large-scale recommendation algorithms for e-commerce scenarios including products, short videos, and live streams.
Role type
Senior IC machine learning engineer (recommendation systems)
Builds
Unified recommendation models for heterogeneous e-commerce goals across multiple countries
Domain
E-commerce, Recommendation Systems, Deep Learning
Deliverable
production ML models
Required skills
Deep learning, Transfer learning, Multi-task learning, Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, C++, Python, Hive SQL, Spark, MapReduce, TensorFlow, PyTorch
Preferred skills
Personalized recommendation, Online advertising, Information retrieval, Publications at top ML conferences (KDD, NeurIPS, WWW, etc.), ACM-ICPC/NOI/IOI competition experience
Technologies
TensorFlow, PyTorch, Spark, Hive, C++, Python
Responsibilities
Develop innovative e-commerce models and algorithms, Optimize recommendation models at massive scales, Conduct data mining and analysis to improve content quality, Run experiments to test deployed model performance, Build algorithms for ETL of large volumes of realtime unstructured data, Support production of scalable and optimized AI/ML models
Seniority
Mid-Senior, hands-on IC
