Team Introduction
Our Search Architecture Team is responsible for building up and optimizing the architecture for our Search Engine to provide the best experience for our TikTok Search users.
This person will be responsible for the design and development of the search system architecture, ensuring system stability and high availability; responsible for online services, offline data flow performance optimization, solving performance bottlenecks, reducing costs and unlocking.
We are looking for talented individuals to join our team in 2026.
As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Launch your 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
- Responsible for the search system of TikTok and its affiliated products, and solving the architecture optimization problem of the search architecture system.
- Focus on architecture abstraction and process optimization for search scenarios, support large-scale machine learning optimization.
- Focus on large-scale systems with high concurrency and high throughput, improve system stability, performance, and scalability.
- Analyze user needs and develop software solutions for distributed system, applying principles and techniques of computer science, engineering, and mathematical analysis.
Minimum Qualifications:
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficient coding skills, strong algorithm and data structure using C++/Python/Java.
- Excellent analytical and problem-solving skills.
Preferred Qualifications:
- Experience in information retrieval, machine learning system development.
- Experience in distributed computing, storage systems, and development.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https:///legal/privacy If you have any questions, please reach out to us at