Engineer Graduate: (Software Engineer Graduate - Data-Search-TikTok.US) - 2026 Start (BS/MS)

Responsibilities

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.Online Assessment

Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.

‍About The Team

On the TikTok Search Team, you will have the opportunity to develop and apply cutting-edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

‍Responsibilities:

• Search Engine Research and Development: Participate in the research and development of ByteDance's search engine. Utilize cutting-edge machine learning algorithms and vast amounts of data to create the most exciting technologies and provide users with the best search experience.
• Core Product Search Development: Contribute to the search development of core products like Toutiao and Douyin, serving hundreds of millions of users.
• Search Core Architecture Improvement:
• Web Search System: Design and develop data flows for web searches at the trillion-page scale, distributed indexing systems, and online retrieval systems. Create industry-leading retrieval architectures.
• Spider System: Design and develop services for real-time computing, scheduling, distribution, pressure control, and crawling in a trillion-page Spider system.
• Stability Solutions: Design and develop high-availability solutions for search engine stability, automated testing, and maintenance platforms.
• Innovative Architecture Implementation: Here, you can realize your architectural dreams without any historical burdens.
  
  

Qualifications

Minimum Qualifications

• Academic Background: Current undergraduate or graduate student graduating in 2026, majoring in Computer Science, Software Engineering, or a related field.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities.
• Programming Skills: Outstanding coding skills, with a strong foundation in data structures and basic algorithms.
• Development Environment: Familiarity with Linux development environment and proficiency in at least one programming language such as C++, Java, Python, or Go.
  
  

Preferred Qualifications:

• Distributed Systems Experience: Prior experience in distributed systems development.
• Search Engine Technologies: Familiarity with search engine technologies and architectures.
• Machine Learning Knowledge: Understanding of machine learning algorithms and their application in search engines.
• Team Collaboration: Experience working in a collaborative, team-oriented environment.