Backend Engineer Intern (TikTok BRIC Singapore) - 2026 Start (BS/MS)

Build scalable, resilient, intelligent integrity solutions that are also privacy-safe and user-friendly.

• Solve product and technical challenges that are often first-seen and highly adversarial. Both quick short term tactics and long term strategical moves are expected at various paces.
• Be part of a diverse and enthusiastic global workforce, grow with and learn from security and integrity experts across Asia, Europe, North America, etc.

We are looking for talented individuals to join us for an internship in 2026. 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.

Successful candidates must be able to commit to either of the following Internships

• From January to June
• From May to August (Summer)

Job Responsibilities:

• Develop and maintain infrastructure and tools to support the deployment and operation of risk defense algorithms and machine learning models. Contribute to enhancing risk prevention and remediation capabilities across various TikTok business units.
• Support the creation of tools and automated processes to aid in risk analytics and enforcement, under the guidance of senior engineers.
• Help maintain risk control solutions with a focus on data security, privacy, and compliance. Assist in improving the performance and reliability of risk-related services, platforms, and tools.

Qualifications

Minimum Qualifications

• Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline
• Coding skills with exposure to programming in languages such as Python, Java, or C++. Familiarity with Linux environments or an interest in learning distributed systems tools like Spark, Flink, or Kubernetes.
• Enthusiasm for learning and problem-solving, with a demonstrated ability to work on technical projects (e.g., coursework, internships, or personal projects) involving coding or system design.

Preferred Qualifications

• Familiarity with machine learning concepts, infrastructure, or applications through academic projects, internships, or self-study.
• Exposure to programming in Go or Rust is a plus
• Strong teamwork and communication skills, with a proactive attitude toward learning and contributing to team goals.
• Experience with coding projects or internships in a tech-related field is a bonus.

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]