Machine Learning Engineer Intern (Global E-Commerce, Recommendation) - 2027 Start
Core
Building large-scale E-commerce recommendation algorithms and systems for commodity, live stream, and short video recommendations to improve user engagement.
Role type
Machine Learning Engineer Intern
Builds
Large-scale recommendation systems and predictive models for candidate generation and ranking
Domain
E-commerce, Recommendation Systems
Deliverable
production ML models
Required skills
Applied machine learning, Deep Learning (TensorFlow/PyTorch), Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, C++/Python, Feature engineering, Real-time data pipelines
Responsibilities
Design and develop predictive models for candidate generation and ranking; Build user interest models and extract latent interests from large datasets; Develop and iterate on real-time data pipelines and feature engineering; Run experiments to test deployed model performance; Debug and resolve issues in the ML deployment process; Work with software platforms for model deployment.