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Machine Learning Engineering Manager - TikTok BRIC Live Integrity
Singapore
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Top Tier compensation with equity
•Annual team offsites
•Health, dental, and vision coverage
•Flexible PTO policy
•Learning and development stipend
•Remote work flexibility
Required Skills
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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About TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
Employees
Los Angeles
Headquarters
$220B
Valuation
Reviews
3.1
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.0
5%
Recommend to a Friend
Pros
Limited positive feedback available
Company size allows for potential opportunities
Technology platform experience
Cons
Mass layoffs and poor handling of terminations
Unprofessional management and HR behavior
Exposure to traumatic content without adequate support
Salary Ranges
52 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1 reports
$273,000
total / year
Base
$210,000
Stock
-
Bonus
-
$273,000
$273,000
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Data Structures
News & Buzz
25-Year-Old TikTok Star Khaby Lame Sells His Media Company for Nearly $1B - observer.com
Source: observer.com
News
·
5w ago
TikTok users say they're being censored after new owners were announced. The company says it's a tech issue. - Reason Magazine
Source: Reason Magazine
News
·
5w ago
TikTok users can't upload anti-ICE videos. The company blames tech issues
HN
·
5w ago
·
1,490
·
1000
TikTok is investigating why some users can't write 'Epstein' in messages - NPR
Source: NPR
News
·
5w ago