Big Data Engineer Intern (TikTok Recommendation Architecture) - 2027 Start

Big Data Engineer Intern (TikTok Recommendation Architecture) - 2027 Start at TikTok in Singapore.

Responsibilities

Our Recommendation Architecture Team is responsible for building and optimizing the architecture of the recommendation system to provide the most stable and best experience for users. The team focuses on optimizing the recommendation system architecture, ensuring stability and high availability, and improving the performance of both online services and offline data flows. Collaborating with the algorithm team, we work to enhance recommendation effectiveness and user experience, boost system performance while reducing costs, build data and service mid-platforms, and realize flexible and scalable high-performance storage and computing systems.

• 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.
• Design and implement reasonable offline data architecture for large-scale recommendation systems. Design and implement flexible, scalable, and high-performance storage and computing systems
• Troubleshoot production systems, design and implement supporting mechanisms and tools to maintain overall production system stability
• Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline
• Familiarity with big data frameworks including Hadoop, Hive, Flink, Spark, Kafka, HBase, or Redis
• Proficiency in Java or C++ programming, with strong coding and troubleshooting abilities

Preferred Qualifications

• Experience with data warehouse construction or large-scale data processing systems
• Strong sense of ownership and ability to work independently in fast-paced environments
• Good team collaboration skills and cross-cultural communication abilities

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.