AI Infrastructure Engineer Intern (TikTok Live Recommendation Architecture) - 2027 Start

AI Infrastructure Engineer Intern (TikTok Live Recommendation Architecture) - 2027 Start at TikTok in Singapore.

Responsibilities

Our Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

• We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
• Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
• Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
• Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
• Successful candidates must be able to commit to at least 3 months long internship period.
• Optimize recommendation model memory usage and inference latency on GPU-based heterogeneous computing systems for live scenarios
• Design and implement high-throughput distributed training and inference pipelines for live broadcast recommendation models
• Perform GPU kernel profiling and performance tuning to optimize real-time inference throughput for live streaming workloads

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline
• Solid programming skills in C++/CUDA/Python, with basic understanding of GPU architecture and distributed training
• Familiarity with deep learning frameworks and basic knowledge of recommendation systems

Preferred Qualifications

• Experience building production-grade training and inference systems for large-scale models, especially for recommendation or live streaming scenarios
• Hands-on experience optimizing recommendation models for memory efficiency, latency, and throughput improvements
• Familiarity with distributed training frameworks (NCCL, Horovod, DeepSpeed, FSDP)

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.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

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.