Machine Learning Engineer (Recommendation) - Global E-Commerce
Core
Designing and optimizing large-scale recommendation algorithms and models for e-commerce scenarios including products, short videos, and live streams across multiple countries.
Role type
Senior IC machine learning engineer (recommendation systems)
Builds
Scalable AI/ML models and recommendation strategies for ByteDance's global e-commerce offerings
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.), competitive programming 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, run experiments to test deployed model performance, build algorithms for ETL of large volumes of real-time unstructured data, resolve bugs in deployed models
Seniority
Senior, hands-on IC
