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Machine Learning Engineer Intern - TikTok Search Team - 2026 Start (PhD)

TikTok

Machine Learning Engineer Intern - TikTok Search Team - 2026 Start (PhD)

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning and development stipend

Health, dental, and vision coverage

Remote work flexibility

Flexible PTO policy

Annual team offsites

Required Skills

Airflow

Python

SQL

Responsibilities

Team Introduction

Our Search Engineering Team is responsible for building and owning Tik Tok's search engine which can provide our users with the best search experience. In Tik Tok 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 2026. PhD Internships at Tiktok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at Tiktok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Internship Opportunities

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: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of Tik Tok search.
  • User Behavior Modeling: solving the recommendation problem in search, let Tik Tok search increase the ability of personalization on the basis of "relevant", and understand users better.
  • Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.

Qualifications

Minimum Qualifications

  • Must be able to commit to a 12-week full-time work.
  • Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Proficient coding skills and strong algorithm & data structure basis.
  • Effective communication and teamwork skills.
  • Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.

Preferred Qualifications

  • Graduating December 2026 onwards with intent to return to degree-program after the completion of the internship.
  • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
  • High levels of creativity and quick problem-solving capabilities.

Privacy Statement

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures