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Machine Learning Engineer Intern (TikTok Shop Global E-Commerce, Search) - 2026 Start (BS/MS)

TikTok

Machine Learning Engineer Intern (TikTok Shop Global E-Commerce, Search) - 2026 Start (BS/MS)

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Health, dental, and vision coverage

Top Tier compensation with equity

Parental leave program

Wellness benefits

Remote work flexibility

Required Skills

Python

TensorFlow

Airflow

About the Role

The Search E-Commerce team is responsible for the search algorithm for Tik Tok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly Tik Tok users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".

We are looking for talented individuals to join us for an internship in 2026. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at Tik Tok.

Application Information:

  • 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 Tik Tok and its affiliates' jobs globally.
  • Applications will be reviewed on a rolling basis - we encourage you to apply early.
  • Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.
  • Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
  • Work with the relevant software platforms in which the models are deployed.

Qualifications

Minimum Qualifications

  • Undergraduate or Postgraduate currently pursuing a Degree/Master in Computer Science, engineering or quantitative field.
  • Excellent coding skills. Solid knowledge of data structure and algorithms.
  • Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.
  • Industry work experience in machine learning. Good product sense with a focus on user experience.

Preferred Qualifications

  • Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.
  • Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.

Additional Information

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

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

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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