TikTok
Applied Scientist, Recommendation, E-Commerce Alliance
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
About the job
Develops and deploys machine learning recommendation systems for TikTok’s e-commerce business, using signals from products, creators, merchants, and transactions to improve shopping experiences.
What you'll do
- Design, develop, and deploy recommendation algorithms and large-scale online learning models.
- Analyze data and run experiments to improve recommendation performance and user satisfaction.
- Work with cross-functional teams, communicate findings, and follow data governance and privacy protocols.
What they ask for
- PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
- Solid experience in machine learning, deep learning, data mining, or artificial intelligence.
- Proficiency in Python, C++, Java, or similar programming languages.
- Deep understanding of recommendation algorithms and personalization systems.
Nice to have
- Experience with reinforcement learning or recommendation systems, computational advertising, search engines, or e-commerce recommendations.
- Competition records, or publications in machine learning or related conferences or journals.
Tools
Python, C++, Java, ML, NLP, CV
AI focus
Applies machine learning, deep learning, NLP, and computer vision to recommendation systems, including large-scale online learning models.
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