Big Data Engineer Graduate (TikTok Application Computing, Data + AI) - 2026 Start (BS/MS)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading global technology company in Singapore is seeking final year or recent graduates for a role in their Recommendation Architecture Team. Candidates will design scalable distributed computing systems and troubleshoot production issues. Strong programming skills in Java, C++, Scala, or Python are required, along with a keen interest in data technologies. This role offers excellent growth opportunities in a dynamic environment with cutting-edge tech.

Qualifications

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering.
• Passionate about computer science and internet technologies.
• Interested in data lake technologies and distributed AI ecosystems.

Responsibilities

• Design and implement scalable distributed computing and training systems for recommendation systems.
• Build high-performance components for offline storage and computing.
• Troubleshoot production systems and ensure system reliability.
• Develop distributed training frameworks for handling large datasets.

Skills

Java

C++

Scala

Python

Education

Final year or recent graduate in Software Development, Computer Science, or related field

Tools

Hudi

Iceberg

Paimon

Ray

PyTorch

Flink

Spark

Job description

About the Team

TikTok's Recommendation Architecture Team is responsible for designing and developing the architecture and computing systems that power the recommendation engines behind products with over a billion users. The team ensures system stability and high availability, abstracts general‑purpose real‑time and batch computing frameworks, and builds flexible, scalable, high‑performance storage systems and computing models. We provide core infrastructure and general‑purpose components for key areas such as deduplication, counting, feature generation, training pipelines, and stream‑batch computing engines, enabling the success of recommendation services at scale.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis – we encourage you to apply early.

Responsibilities

• Design and implement scalable distributed computing and training systems for large‑scale recommendation systems.
• Build flexible, extensible, stable, and high‑performance components for offline storage, computing, and training.
• Perform troubleshooting for production systems, and design and develop tools and mechanisms to ensure system stability and reliability.
• Develop industry‑leading distributed training and computing frameworks for recommendation systems, providing robust infrastructure for massive datasets and large‑scale business systems.

Qualifications

Minimum Requirements

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Passionate about computer science and internet technologies. Proficient in programming languages such as Java, C++, Scala, or Python.
• Interested in data lake technologies like Hudi, Iceberg, or Paimon, and in distributed AI ecosystems such as Ray, PyTorch, Flink, or Spark.

Preferred Qualifications

• Solid foundation in computer science, with deep understanding of data structures, algorithms, and operating systems.
• Strong logical and analytical skills, with the ability to abstract and decompose complex business logic.
• Strong curiosity and learning ability; capable of reading and understanding cutting‑edge research papers, excellent communication and collaboration skills.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at [e-mail]