TikTok
Machine Learning Engineer Intern (E-Commerce User Growth) - 2027 Summer
Seattle, Washington, United States of America · Intern · Internship
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About the role
- The TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects.
- Leveraging on our products, the team helps users discover and acquire great products, enriching their lives.
Responsibilities
- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.
Requirements
- Currently pursuing a Undergraduate degree in Software Development, Computer Science, Computer Engineering or a related discipline.
- Deep research or engineering practice in at least one of: LLMs / foundation models, NLP, CV, RL, or recommendation / search / ads - and you can articulate why you made the choices you made, and where they fell short.
Skills
- To make high-quality products easily accessible, enabling everyone to enjoy a better life.
- Candidates may apply to a maximum of two positions across Our Company and its affiliates globally.
- Applications will be considered in the order they are submitted.
- Please clearly state your availability in your resume, including your start and end dates.
Company info
- We are looking for talented individuals to join us for an internship.
- Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
- Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
- Applications are reviewed on a rolling basis, so we encourage you to apply early.
This listing is sourced directly from TikTok's careers page and normalized into a canonical job model.