Infrastructure Engineer Graduate (TikTok Recommendation Architecture) - 2027 Start (PhD)

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok in Singapore is recruiting a research/software engineer for a cutting-edge AI team focused on recommender and search systems. The role emphasizes building scalable, low-latency infrastructure and exploring large-model techniques. Regular employment with onboarding by year-end is expected.

Ideal candidates hold a PhD and have strong coding skills in C/C++ or Python, with an engineering mindset to balance performance and cost. Apply with availability and graduation date in resume.

Qualifications

• PhD in AI/CS/CE required.
• Strong programming abilities in data structures and fundamental algorithms; C/C++ or Python depending on role.

Responsibilities

• Design and develop the Recommendation and Search system architecture for TikTok.
• Ensure system stability, high availability, and low-latency performance for online services and data streams.
• Collaborate with algorithm engineers, data analysts, and product managers to drive generative recommendation and search innovations.

Skills

PhD completed in AI/CS/CE

C/C++

Python

Education

PhD in AI/CS/CE

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Location:

Employment Type:

Regular

Job Code:

A222401A

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Responsibilities

Team Introduction:Our Team is responsible for the design and development of the Recommendation and Search system architecture for TikTok. It ensures the stability and high availability of the system, optimizes the performance of online services and offline data streams, resolves system bottlenecks, and reduces cost overheads. The team also abstracts the common components and services of the system, builds the recommendation middle - office and data middle - office to support the rapid incubation of new products and enable ToB services.We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

As business scenarios become increasingly complex, search, advertising, and recommendation are facing significant challenges. While large models can accurately capture user preferences and enhance personalization as well as content quality, they also impose stringent requirements on real-time performance, stability, and scalability. This introduces substantial technical challenges in areas such as distributed training, inference acceleration, heterogeneous hardware utilization, and multimodal data processing. At the same time, the rapid growth in model scale and the proliferation of multimodal data have made it difficult for existing infrastructure to meet the demands of data processing efficiency and resource utilization. Our Team focuses on system and engineering innovations to overcome key technical bottlenecks and build efficient, stable, and scalable large-model solutions, providing a robust technical foundation for search, advertising, and recommendation scenarios.

• Building next-generation generative AI infrastructure for search, advertising, and recommendation businesses.
• Through the co-design of large models, multimodal technologies, and system-level innovations, we aim to overcome performance bottlenecks and enable ultra-long context handling, millisecond-level response latency, and high-precision information understanding, thereby driving intelligent upgrades across the business.

Qualifications

• Minimum Qualifications:- Individuals who are completing or have recently completed a PhD degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
• 2. Excellent programming abilities with a strong command of data structures and fundamental algorithms. For traditional coding roles, proficiency in C/C++ is required; for intelligent coding roles, proficiency in Python is required. Candidates are required to use these languages to implement complex algorithms and build iterative models. Candidates should also have a strong engineering mindset with the ability to balance performance and cost;
• Preferred Qualifications:- Ability to effectively communicate and collaborate with team members, such as algorithm engineers, data analysts, and product managers, to explore new technologies and drive innovation in generative recommendation and search systems.

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.