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Backend Engineer Intern (TikTok Recommendation Architecture) - 2026 Start (BS/MS)

TikTok

Backend Engineer Intern (TikTok Recommendation Architecture) - 2026 Start (BS/MS)

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

福利厚生

Equity

Healthcare

Learning

Flexible Hours

Parental Leave

必須スキル

PostgreSQL

Python

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Tik Tok

Backend Engineer Intern (Tik Tok Recommendation Architecture) - 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:

Team Introduction
Our Recommendation Architecture Team is responsible for building and optimizing the architecture of the recommendation system to provide the most stable and best experience for Tik Tok users. The team focuses on optimizing the recommendation system architecture, ensuring stability and high availability, and improving the performance of both online services and offline data flows. Collaborating with the algorithm team, we work to enhance recommendation effectiveness and user experience, boost system performance while reducing costs, build data and service mid-platforms, and realize flexible and scalable high-performance storage and computing systems.

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

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:

  • Design and implement a reasonable offline data architecture for large-scale recommendation systems.
  • Design and implement flexible, scalable, stable and high-performance storage and computing systems.

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  • Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system.
  • Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.
  • Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
  • Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
  • Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications:

Minimum Qualifications:

  • Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major.
  • Experience programming in at least one of the following programming languages: C, C++, Java or Golang.
  • Effective communication skills and a sense of ownership and drive.

Preferred Qualifications:

  • Experienced in at least one area of the following areas: personalized recommendations system infra (dag engine, ranking, online/offline feature store), search engine, distributed storage system, rpc-frameworks, performance regression (such as perf-CI) is a plus.
  • Agile, quick self learner, highly self-motivated with a strong sense of product ownership and creative problem solver.
  • Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.

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-7531736718752827655Employment Type: INTERNPosted: 2025-07-29T01:28:02Apply 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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Press shift question mark to access a list of keyboard shortcuts Keyboard Shortcuts Enabled Disabled Shortcuts Open/Close/ or ?Play/PauseSPACEIncrease Volume↑Decrease Volume↓Seek Forward→Seek Backward←Captions On/Offc Fullscreen/Exit Fullscreenf Mute/Unmutem Decrease Caption Size-Increase Caption Size+ or =Seek %0-9

Next Up Tik Tok Client Provided Video 101:20

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Linkhttps://cdn.jwplayer.com/previews/LVcpvjZACopied

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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

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3件のレポート

$143,750

年収総額

基本給

$125,000

ストック

-

ボーナス

-

$126,500

$163,300

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