Big Data Engineer Intern (TikTok Live Recommendation Architecture) - 2026 Start (BS/MS)

atch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

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.
Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities

• Design and implement reasonable offline data architecture for large-scale recommendation systems.
• Design and implement flexible, scalable and high-performance storage and computing systems.
• Trouble-shooting of the production system, designing and implementing the necessary mechanisms and tools to ensure the stability of the overall operation of the production system.
• Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create data reports as well.

Qualifications

Minimum Qualifications:

• Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major.
• Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
• Familiar with Java, C ++ and other programming languages.
• Strong coding and trouble shooting ability.

Preferred Qualifications:

• Agile, quick self learner, highly self-motivated with a strong sense of product ownership and creative problem solver.
• Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.

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]