Location: Singapore
Duration: 3–6 months
Commitment: Full-time (Choose either Jan–Jun 2026 or May–Aug 2026)
About the Team
TikTok’s Live Platform Intelligence team is dedicated to optimizing live streaming experiences for creators and viewers worldwide. Using model-driven and data-driven approaches, the team focuses on improving key business metrics such as revenue, engagement, and content quality. You will gain hands-on exposure to large-scale distributed systems, machine learning, and cutting-edge AI applications in a high-growth, global platform.
What You Will Do
- Build and implement machine learning models to improve live streaming efficiency and user experience.
- Work with large language models (LLMs), multimodal models, and image/video generation models tailored to TikTok Live scenarios.
- Analyze live streaming data to identify anomalies, optimize operations, and support automated intelligent workflows.
- Collaborate with cross-functional teams to translate insights into actionable features for creators and operators.
- Apply model-driven solutions to enhance revenue, content quality, and user engagement.
Qualifications
Minimum Requirements:
- Currently pursuing a Master’s degree in Computer Science or a related field.
- Familiarity with large language models (LLMs) and their applications.
- Strong problem-solving, critical-thinking, and mathematics skills.
Preferred Qualifications:
- Experience with high-quality domain publications or research in AI/ML.
- Passion for live streaming technology and innovative digital experiences.
Why TikTok
- Work on real-world projects that impact millions of creators and users globally.
- Collaborate with a diverse, international team of innovators and engineers.
- Learn from industry-leading experts in AI, machine learning, and large-scale live streaming infrastructure.
- Experience TikTok’s dynamic culture that promotes creativity, inclusion, and continuous learning.
Diversity & Inclusion
TikTok is committed to fostering an inclusive and equitable workplace. We value diverse perspectives and encourage applicants from all backgrounds to join our global community.
