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

Team Introduction
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join us for an internship in from Sept. 2025 onwards. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch 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.