Responsibilities

The Global E-Commerce Search Infrastructure team builds the systems that power product discovery on TikTok Shop. We work across retrieval, indexing, query understanding, real-time data processing, and AI-enabled search infrastructure. Our goal is to help customers find relevant products quickly and reliably while operating services on a global scale. As an intern, you will be matched with one well-scoped project based on your experience, interests, and team priorities. You will work with a dedicated mentor and collaborate with engineers across search, machine learning, and data infrastructure. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Online Assessment Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment. Responsibilities: - Design and implement a scoped feature or system component with guidance from your mentor. - Write clear, maintainable, and tested production code in languages such as C++, Go, Java, or Python. - Participate in design discussions, code reviews, testing, documentation, and launch-readiness reviews. - Use metrics and benchmarks to evaluate system quality, such as latency, throughput, reliability, freshness, or search relevance. - Investigate technical issues, identify root causes, and propose practical improvements. - Present your work and results to the team at the end of the internship.

Qualifications

Minimum Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field. - Able to work full-time for 12 consecutive weeks. - Programming experience in at least one general-purpose language, such as C++, Go, Java, or Python. - Understanding of data structures, algorithms, and object-oriented or modular software design. - Ability to communicate effectively and work collaboratively in a team environment. Preferred Qualifications: - Coursework, research, personal projects, open-source contributions, or prior internships involving software systems. - Search or information-retrieval concepts, such as inverted indexes, BM25, learning-to-rank, vector search, FAISS, or HNSW. - Distributed systems, databases, storage systems, or data-processing frameworks such as Kafka, Flink, or Spark. - AI or machine-learning infrastructure, model serving, retrieval-augmented generation, or agentic systems. - Performance analysis, debugging, Linux development, or competitive programming. 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

Job Information

[For Pay Transparency]Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $42.75- $42.75.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.