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Machine Learning Engineering Manager - TikTok BRIC Live Integrity

TikTok

Machine Learning Engineering Manager - TikTok BRIC Live Integrity

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Equity

Healthcare

Unlimited Pto

Learning

Remote Work

필수 스킬

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

View Company Profile

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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총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

TikTok 소개

TikTok

TikTok

Late Stage

A 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