Big Data Engineer Intern (TikTok Recommendation Architecture) - 2027 Start Singapore Undergradu[...]

TikTok; Singapore; On-site; SGD 11,000 - 20,000; Full time

Job summary

TikTok is offering an internship in its Recommendation Architecture Team in Singapore. You will help design offline data architectures for large-scale recommender systems and contribute to scalable storage and computing infrastructure.

Internship candidates will gain hands-on experience, collaborate with cross-functional teams, and participate in development workshops and events. Commitment of at least 3 months is required and candidates may apply to two positions across the company.

Qualifications

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

Responsibilities

• Design and implement offline data architecture for large-scale recommender systems.
• Build scalable, high-performance storage and computing systems.
• Troubleshoot production systems and maintain overall system stability.
• Develop distributed storage/compute infrastructure for massive data and business systems.
• Apply data mining, ML, and NLP to extract insights from large datasets.

Skills

Java or C++

Big data frameworks

Problem solving

Education

Bachelor’s or Master’s in CS/CE/IS

Tools

Hadoop

Spark

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Technology

Employment Type: Intern

Job Code: A196195A

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. 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.

Qualifications

Minimum Qualifications:

• 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.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.