採用

Machine Learning Engineer, Access Safety - TikTok BRIC - Singapore
Singapore
·
On-site
·
Full-time
·
2mo ago
福利厚生
•Unlimited Pto
•Remote Work
必須スキル
Apache Spark
Python
Airflow
-
Jobs
-
View All Jobs
-
Companies
-
Advice
-
Coaching
-
Newsletter
-
Employers
-
Sign In
-
Saved Companies
-
Account Settings
-
Sign Out
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.
-
Preferred Qualifications
-
Experience in building detection and defence for Bot/large abusive traffic.
-
Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment
Want more jobs like this?
Get Data and Analytics jobs in Singapore delivered to your inbox every week.
Email Address
Send me The Muse newsletters for the best in career advice and job search tips.
Get jobs!
By signing up, you agree to our
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
facebook
linkedin
x
tumblr
reddit
pinterest
Email
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
Close
Apply on company site
Similar Jobs
Machine Learning Engineer Atlassian Seattle, WAMachine Learning Engineer Apple Sunnyvale, CAMachine Learning Engineer Apple Cupertino, CA
Suggested Searches
Data and Analytics jobsmid jobs Tik Tok jobs All jobs
Search Additional Jobs
Machine Learning Engineer Jobs in Singapore Jobs in Singapore Data and Analytics Jobs Data and Analytics Jobs in Singapore The Muse LogoA logo with "the muse" in white text.
of Use
-
Popular Jobs
-
New York Jobs
-
San Francisco Jobs
-
Seattle Jobs
-
Engineering Jobs
-
Marketing Jobs
-
Information Technology Jobs
-
Salaries
Get Involved
- For Employers
- The Muse Book: The New Rules of Work
- For Career Coaches
- Tell A Friend
Join The Conversation:
-
Facebook
-
LinkedIn
-
Twitter
-
Pinterest
-
Instagram
総閲覧数
1
応募クリック数
0
模擬応募者数
0
スクラップ
0
類似の求人
TikTokについて

TikTok
Late StageA 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
ニュース&話題
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



