Machine Learning Engineer Intern (TikTok Shop Global E-Commerce, Recommendation) - 2026 Start (BS/MS)
Tasks
- Apply statistics and programming to model development
- Build large scale e commerce recommendation algorithms and systems
- Build real-time data pipelines
- Create debugging tools for machine learning systems
- Design data extraction transformation and loading pipelines
- Design develop evaluate and iterate predictive models
- Develop user interest models
- Perform feature engineering and model optimization
- Resolve bugs in deployed models
- Run experiments to test deployed model performance
- Support production scalable machine learning models
- Work with model deployment software platforms
Perks/Benefits
- N/A
Skills/Tech-stack
Boosting trees | C plus plus | Collaborative Filtering | Data Mining | Data Pipelines | Data Processing | Deep Neural Networks | Experimentation | Factorization machines | Feature Engineering | Gradient Boosting Trees | Gradient boosting | Information Retrieval | Language Processing | Logistic Regression | Machine Learning | Matrix Factorization | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Real Time | Real-time Data | Real-time Data Processing | Recommendation Systems | TensorFlow | Wide and Deep | Word2Vec
Education
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