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Machine Learning Engineering Manager - TikTok BRIC Live Integrity
Singapore
·
On-site
·
Full-time
·
2mo ago
福利厚生
•Equity
•Healthcare
•Unlimited Pto
•Learning
•Remote Work
必須スキル
Python
Airflow
TensorFlow
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
Responsibilities
The Tik Tok BRIC Live Integrity team is responsible for addressing ecosystem risks in Tik Tok content creation, distribution, and social interactions, with a focus on combating underground industries facilitated by fake accounts, large-scale coordinated groups, and content or behaviors that harm community health and experience.
We are looking for an experienced Machine Learning Engineering Manager to lead the Singapore site of the team, responsible for combating fake account registration and protecting the integrity of social engagement.
You will be at the forefront of protecting our community, tackling unique and evolving challenges in a dynamic global environment. This role offers a significant opportunity to influence company strategy and build innovative solutions to ensure a safe and positive user experience.
- Lead the technical direction and strategy for the team, focusing on community health and user safety
- Develop, deploy, and maintain sophisticated machine learning models and strategies to detect and mitigate risks such as fake accounts and inauthentic engagement.
- Architect and build robust, scalable systems for real-time risk detection and enforcement.
- Manage the day-to-day operations of the machine learning engineering team, fostering a culture of technical excellence, innovation, and continuous improvement
- Partner closely with Product Managers, Data Scientists, and Operations teams to define the technical roadmap, set clear milestones, and ensure the timely delivery of key initiatives
- Mentor and grow a team of talented engineers, providing technical guidance and career development support
- Communicate complex technical concepts and project outcomes to both technical and non-technical stakeholders
Qualifications
Minimum Qualifications:
- Proven experience as a manager with a strong track record of leading, mentoring, and growing a Machine Learning Engineering (MLE) team.
- Solid foundation in machine learning theory and practice, with demonstrated experience in areas like deep learning, NLP, graph-based learning, or large-scale classification systems.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional, fast-paced environment.
Preferred Qualifications:
- Experience in the Trust & Safety, content moderation, anti-spam, or risk control domain.
- Hands-on experience building detection systems for fake accounts, coordinated networks (e.g., using graph neural networks), or harmful content at scale.
- Solid software engineering skills with proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hive).
Email Address
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Client-provided location(s): Singapore
Job ID: Tik Tok-7594367510292826373
Employment Type: OTHER
Posted: 2026-01-15T20:10:23
Apply 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
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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