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At TikTok

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Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2027 Start

At TikTok

Posted on Aug 3

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TikTok

Data Warehouse Engineer Graduate (Data Platform, TikTok LIVE) - 2027 Start

SingaporePosted Aug 3, 2026

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

Team Introduction
The mission of the Global Live Data BP team is to empower the TikTok Live business through data. Our goal is to build data warehouses that support both batch and streaming data processing, as well as data products that deliver actionable insights through efficient metrics and dashboards. These capabilities enable smarter business decisions and support sustainable business growth. If you are looking for a challenging environment where you can push your limits and make meaningful impact, this is the team for you!

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Participate in building offline and real-time data warehouses for the TikTok Live business.
- Work with PB-scale data and support the daily processing of hundreds of billions of user data records.
- Support the full big data lifecycle, including data generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization.
- Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.

Qualifications

Minimum Qualification(s)
- Individuals who are completing or have recently completed a Bachelor's / Master's degree in Computer Science, Software Engineering, or a related technical discipline.
- Solid technical foundation with strong coding skills in SQL, Python, Scala, Java, or similar languages.

Preferred Qualification(s)
- Experience with big data tools and frameworks such as Spark, Hadoop, Hive, Flink, Kafka, and HBase.
- Strong interest in big data technologies, with a self-motivated and proactive learning mindset.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s)
- Individuals who are completing or have recently completed a Bachelor's / Master's degree in Computer Science, Software Engineering, or a related technical discipline.
- Solid technical foundation with strong coding skills in SQL, Python, Scala, Java, or similar languages.

Preferred Qualification(s)
- Experience with big data tools and frameworks such as Spark, Hadoop, Hive, Flink, Kafka, and HBase.
- Strong interest in big data technologies, with a self-motivated and proactive learning mindset.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

View company profile