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Machine Learning Engineer Intern (Search -TikTok.US) - 2025 Summer (BS/MS) Job Opening In San Jose – Now Hiring TikTok


Job description

Team Introduction

Our Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience.

In TikTok Search Team, you’ll have the opportunity to build full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system.

We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

We are looking for talented individuals to join us for an internship in 2025.

Internships at TikTok aim to offer students industry exposure and hands-on experience.

Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths.

A vibrant blend of social events and enriching development workshops will be available for you to explore.

Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

This Internship Program runs for 12 weeks beginning in May/June 2025.

Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12
Monday, May 19
Tuesday May 27 (Memorial Day May 26)
Monday, June 9
Monday, June 23 We will prioritize candidates who are able to commit to these start dates.

Please state your availability clearly in your resume (Start date, End date).

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.

The application limit is applicable to TikTok and its affiliates' jobs globally.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Online Assessment (Only for RD)
Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.

Responsibilities This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in the improvement of the search core algorithm, possible directions include:
• 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.
• User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of relevant, and understand users better.
• 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 the authority, credibility and usefulness of search results.



Minimum Qualifications: • Currently pursuing a Bachelors or Masters in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Able to commit to working for 12 weeks during Summer 2025.
• Experience with coding in Python, Java, Golang, C#, or C++.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications • Graduating December 2025 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.

Required Skill Profession

Computer Occupations


  • Job Details

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Here are some tips to help you prepare for and ace your Machine Learning Engineer Intern (Search TikTok.US) 2025 Summer (BS/MS) job interview:

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Research: Learn about the TikTok's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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