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

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 Qualifications

• Final year student 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 [email protected]