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Machine Learning Engineer Intern (Recommendation) - 2026 Start (BS/MS)
Singapore
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On-site
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Full-time
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2mo ago
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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:
- Participate in the recommendation algorithm of the livestreaming business and make contributions to a world-class large scale recommendation system
- 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.
- 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
- 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:
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Solid programming foundation, good programming style and work habits, solid knowledge of data structures and algorithms.
- 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.
- 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.
- 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.
0 seconds of 2 minutes, 18 seconds Volume 0%
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
Live00:0002:1802:18
More Videos
- 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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TikTok 소개

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
직원 수
Los Angeles
본사 위치
$220B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
3.7
문화
4.1
커리어
3.2
경영진
2.9
68%
친구에게 추천
장점
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
단점
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
연봉 정보
49개 데이터
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1개 리포트
$273,000
총 연봉
기본급
$210,000
주식
-
보너스
-
$273,000
$273,000
면접 경험
2개 면접
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
뉴스 & 버즈
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