Team Introduction
The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users.
Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs.
Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.
We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience.
Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths.
A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.
This Internship Program runs for 12 weeks beginning in May / June 2025. Successful candidates must be able to commit to one of the following summer internship start dates below : Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23 We will prioritize candidates who are able to commit to these start dates.
Please state your availability clearly in your resume (Start date, End date). 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.
Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
Responsibilities -Design and implement an offline / real-time data architecture for large-scale recommendation systems.-Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.
- Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.
- Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.
Minimum Qualifications : - Pursuing a Bachelor's Degree or above, majoring in Computer Science, or related fields, with experience building scalable systems.
- Proficiency in common big data processing systems like Spark / Flink at the source code level is required, with a preference for experience in customizing or extending these systems;
- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customization experience;
- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet / ORC is an additional advantage;
- Prior experience in data warehousing modeling;- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;
Preferred Qualifications - Experience with other big data systems / frameworks like Hive, HBase, or Kudu is a plus;- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.
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