Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) - 2027 Start
Core
Building large-scale E-commerce recommendation algorithms and systems for commodity, live stream, and short video content.
Role type
Machine Learning Engineer (Graduate)
Builds
Real-time recommendation systems and predictive models for candidate generation and ranking.
Domain
E-commerce, Recommendation Systems, Deep Learning
Deliverable
production ML models
Required skills
Applied machine learning, Deep Learning frameworks (TensorFlow/PyTorch), Programming (C++/Python), Algorithm design (Collaborative Filtering, Matrix Factorization, Deep Neural Networks), Feature engineering, Data pipeline construction, Model optimization, Experimentation.
Preferred skills
Recommendation systems, Online advertising, Information retrieval, NLP, Large-scale data mining, Academic publications (KDD, NeurIPS, etc.), Data mining competitions.
Technologies
TensorFlow, PyTorch, C++, Python
Responsibilities
Design and develop predictive models for CTR and conversion rate prediction; Build real-time data pipelines and feature engineering; Run experiments to test deployed model performance; Debug and resolve issues in the model deployment process.
Seniority
Junior, Graduate Program
