Backend Engineer Graduate (TikTok Recommendation Architecture) - 2026 Start (BS/MS)

ur career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Participate in the design of recommendation systems to enhance the development efficiency, performance, scalability, and recommendation effectiveness of the system.
• Optimize backend systems and services for data security, modularity, computational efficiency and scalability.
• Trouble-shooting of the production system, design and implement 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.
• Pursue extreme performance optimization in the storage layer, computing layer, or application layer.
• Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Collaborate with colleagues to serve global users and tackle the challenges brought by globalized architecture.

Qualifications

Minimum Qualifications:

• Final year graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or other related technical discipline.
• Strong software programming capabilities, exhibits good code design and coding style.
• Familiarity with at least one of the programming languages: Go, Python, Java or C++.
• Pragmatic understanding of data structure, algorithm design and analysis, networking, data security, distributed system, and highly scalable systems design.

Preferred Qualifications:

• Interested in recommendation systems, with an understanding of recommendation principles or execution processes.
• Have experience or internship in performance optimization and architecture optimization in high-traffic scenarios.
• Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.

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]