Software Engineer Intern (TikTok Recommendation Architecture) - 2027 Start

TikTok; Singapore; On-site; SGD 11,000 - 22,000; Part time

Job summary

TikTok is seeking ambitious interns for its Recommendation Architecture Team in Singapore. You will help design and optimize scalable architectures for the recommendation system, collaborating with algorithms, and contributing to both online services and offline data flows.

The internship offers hands-on experience, industry exposure, and opportunities to apply knowledge to real-world challenges, with a minimum commitment of 3 months; candidates may apply to up to two positions across TikTok and

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline.
• Strong programming skills in C++ or Python, with solid understanding of data structures and algorithms.
• Familiarity with PyTorch or TensorFlow, and basic knowledge of Transformer architectures and Large Language Models (LLMs).

Responsibilities

• Design and evolve scalable recommendation system architectures supporting multi-scenario business requirements across feeds and vertical content.
• Build high-performance distributed storage systems and computing frameworks optimized for recommendation workloads.
• Trouble‑shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system.
• Develop fault-tolerance mechanisms and observability tools to ensure production system stability and high availability.

Skills

C++

Python

Data structures

Algorithms

Education

Bachelor’s or Master’s degree in CS/CE/IS

Tools

PyTorch

TensorFlow

Job description

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.

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.

Responsibilities

• Design and evolve scalable recommendation system architectures supporting multi-scenario business requirements across feeds and vertical content
• Build high-performance distributed storage systems and computing frameworks optimized for recommendation workloads
• Trouble‑shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
• Develop fault-tolerance mechanisms and observability tools to ensure production system stability and high availability

Qualifications

Minimum Qualification(s):

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline
• Strong programming skills in C++ or Python, with solid understanding of data structures and algorithms
• Familiarity with PyTorch or TensorFlow, and basic knowledge of Transformer architectures and Large Language Models (LLMs)

Preferred Qualification(s)

• Interest in recommendation systems, with basic understanding of recommendation principles or execution processes
• Experience with performance optimization or architecture optimization in high-traffic scenarios
• Quick learner with strong sense of product ownership and creative problem-solving skills

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.