Machine Learning Engineering Manager - TikTok BRIC Live Integrity

Machine Learning Engineering Manager - TikTok BRIC Live Integrity at TikTok in Singapore.

Responsibilities

The TikTok BRIC Live Integrity team is responsible for addressing ecosystem risks in TikTok 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

Requirements

• 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).

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

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This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.