Big Data Engineer Intern (TikTok Live Recommendation Architecture) - 2027 Start Singapore Undergraduate/Master Intern - 2027 Start

TikTok; Singapore; Sur place; SGD 13 000 - 20 000; Temps partiel

Résumé du poste

TikTok Singapore is offering an internship in the Live Recommendation Architecture Team. You will design offline and real-time data processing architectures for live broadcast recommendation systems, build distributed storage and stream computing systems, and develop real-time analytics platforms to support operations and algorithm iterations.

Ideal candidates are pursuing a Bachelor’s or Master’s in CS/CE/IS, familiar with Hadoop/Spark/Kafka/HBase, and proficient in Java or C++.

Qualifications

• 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 RocksDB
• Proficiency in Java or C++ programming, with strong coding and troubleshooting abilities
• Experience with real-time data processing or live streaming related systems
• Strong sense of ownership and ability to deliver results in fast-paced environments
• Good team collaboration skills and cross-cultural communication abilities

Responsabilités

• Design and implement offline and real-time data processing architectures for live broadcast recommendation systems
• Build distributed storage and stream computing systems optimized for high-volume real-time live streaming data processing
• Develop real-time data analytics platforms to support live broadcast business operation and algorithm iteration

Connaissances

Java

C++

Big data frameworks

Real-time data processing

Distributed systems

Ownership

Cross-cultural communication

Team collaboration

Formation

Bachelor's or Master's degree in Computer Science / Computer Engineering / Information Systems

Outils

Hadoop

Spark

Kafka

HBase

Description du poste

Discover a career that energizes and excites you every day.

@2026 TikTok

Technology

Location:

Employment Type:

Intern

Job Code:

A169447

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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.

• Design and implement offline and real-time data processing architectures for live broadcast recommendation systems
• Build distributed storage and stream computing systems optimized for high-volume real-time live streaming data processing
• Develop real-time data analytics platforms to support live broadcast business operation and algorithm iteration

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 RocksDB
• Proficiency in Java or C++ programming, with strong coding and troubleshooting abilities
• Experience with real-time data processing or live streaming related systems
• Strong sense of ownership and ability to deliver results 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.