Machine Learning Engineer Intern - TikTok Search E-Commerce team - 2026 Summer (BS/MS)

TikTok
San Jose, California

About the job

The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search experience to over a billion monthly active TikTok users worldwide. Our mission is to create a world where 'no reasonably priced product is difficult to sell.' We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

Responsibilities

Participate in the improvement of the search core algorithm, possible directions include:

1. Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search.

2. User Behavior Modeling: solving the recommendation problem in search, letting TikTok search increase the ability of personalization on the basis of 'relevant', and understand users better.

3. Video understanding: comprehensive use of NLP, CV and other technologies for better video understanding from the perspective of the video itself and social network, improve authority, credibility and usefulness of search results.

Qualifications

Minimum

• Currently pursuing a Bachelor/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

• Able to commit to working for 12 weeks during Summer 2026.

• Experience with coding in Python, Java, Golang, C#, or C++.

• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred

• Graduating December 2026 onwards with intent to return to degree-program after the completion of the internship.

• Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications.

• High levels of creativity and quick problem-solving capabilities.