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Machine Learning Engineer, Access Safety - TikTok BRIC - Singapore
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, Access Safety
- Tik Tok BRIC - Singapore
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:
The Tik Tok-BRIC-Access Safety team is missioned to protect the Tik Tok platform and users from malicious automation, fake traffic, and compromised devices. We ensure all inbound traffic and device identities remain authentic and abuse-resistant.
In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives. You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system.
- Perform access-risk detection and analysis using ML models and rule logic.
- Develop device authenticity labels.
- Execute real-time enforcement (block / throttle / challenge) and broader punishment mechanisms.
- Deliver signals, metrics, and dashboards to partner teams.
- Perform access-risk detection and analysis using ML models and rule logic.
- Develop device authenticity labels.
- Execute real-time enforcement (block / throttle / challenge) and broader punishment mechanisms.
- Deliver signals, metrics, and dashboards to partner teams.
Qualifications:
-
Minimum Qualifications
-
Experience in safety, security, or risk control or related domains.
-
Bachelor or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
-
Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
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Preferred Qualifications
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Experience in building detection and defence for Bot/large abusive traffic.
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Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment
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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%
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Next Up Tik Tok Client Provided Video 101:20
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Linkhttps://cdn.jwplayer.com/previews/LVcpvjZACopied
Live00:0002:1802:18
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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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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
Hollywood wants to be TikTok. TikTok wants to be TV - Axios
Axios
News
·
3d ago
Hundreds of Fake Pro-Trump Avatars Emerge on Social Media - The New York Times
The New York Times
News
·
3d ago
Firefighters warn parents about dangerous TikTok trends sending kids to hospitals - WFSB
WFSB
News
·
4d ago
QVC prepares for bankruptcy protection in the era of influencers, TikTok and Temu - Chicago Tribune
Chicago Tribune
News
·
4d ago




