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Machine Learning Engineer Intern (Recommendation) - 2026 Start (BS/MS)

TikTok

Machine Learning Engineer Intern (Recommendation) - 2026 Start (BS/MS)

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

福利厚生

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Tik Tok

Machine Learning Engineer Intern (Recommendation) - 2026 Start (BS/MS)

3+ months ago• Singapore
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

  • Size: 5001-10000 employees
  • Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

About the Tik Tok Data Team:

Our Tik Tok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.

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.

Responsibilities:

  1. Participate in the recommendation algorithm of the livestreaming business and make contributions to a world-class large scale recommendation system
  2. Optimize the core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, diversity, etc.) through modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling. Ensure every user finds relevant creators and enjoys the fun of livestreaming.
  3. Continuously improve recommendation technology with deep understanding of the ecological roles of users, creators, platforms, drive healthy growth in user experience, creator growth, platform revenue, and create a virtuous cycle of livestream ecosystem
  4. Work closely with the product and operations team, excel in technological innovation with deep integration of business characteristics, and help achieve long-term and short-term business development goals.

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.

  • Successful candidates must be able to commit to either of the following Internships
  • From January to June
  • From May to August (Summer)

Qualifications:

Minimum Qualifications:

  1. Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  2. Solid programming foundation, good programming style and work habits, solid knowledge of data structures and algorithms.
  3. Has strong theoretical foundation and extensive practical experience in the field of machine learning/deep learning , familiar with at least one mainstream deep learning framework.
  4. Has exceptional ability to analyze and solve problems, passionate about solving challenging problems; good at communication, proactive at work, has a strong sense of responsibility, and possess good teamwork skills.
  5. Priority will be given to individuals who have published papers at top conferences, won competitions such as ACM/machine learning, or have experience in core algorithm businesses such as large-scale recommendation systems, computational advertising, and search engines.

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By signing up, you agree to our Preferred Qualifications:

  • Experience in recommendation, search, advertising, or other related projects;
    -Published papers in the top AI conferences or journals is a plus, including ICML, ICLR KDD, IJCAI, WWW, WSDM, NeurIPS, ACL, AAAI etc.;
  • Competition experience in machine learning, data mining, NLP, etc.;
  • Good understanding of data structures and algorithms;
  • Passion for techniques and solving challenging problems.

By submitting an application for this role, you accept and agree to our global applicant If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Client-provided location(s): Singapore Job ID: Tik Tok-7533145457216899336Employment Type: INTERNPosted: 2025-08-13T02:39:23Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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Next Up Tik Tok Client Provided Video 101:20

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  • 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
  • Limitless Possibilities01:41Working at Tik Tok
  • Women's Community01:31Working at Tik Tok
  • Women's Empowerment01:45Working At Tik Tok
  • BLXCK01:27Working at Tik Tok
  • Diversity, Equity and Inclusion with BLXCK
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連絡先と所在地

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1件のレポート

$273,000

年収総額

基本給

$210,000

ストック

-

ボーナス

-

$273,000

$273,000

面接体験

2件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit