Job description

Our Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience. In TikTok Search Team, you'll have the opportunity to build full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. This full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in the improvement of the search core algorithm, possible directions include: - Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. - User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of "relevant", and understand users better. - Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results. - Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience. Minimum Qualifications - Individuals who are completing or have recently completed a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Statistics, Mathematics, or a related technical discipline. - Experience with at least one programming language such as Python, Java, C++, Go, or JavaScript through coursework, internships, projects, or equivalent practical experience. Preferred Qualifications - Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, data mining, or backend systems. - Familiarity with distributed systems, databases, data pipelines, online experimentation, or large-scale service development. - Experience using data or metrics to debug, evaluate, or improve a product or system. - Strong problem-solving, communication, and collaboration skills. - Interest in building Search products and systems for a large-scale consumer platform. As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits.

Requirements

Must-haves

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
This full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to:
Participate in the improvement of the search core algorithm, possible directions include:
Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search.
User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of "relevant", and understand users better.
Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.
Experience with at least one programming language such as Python, Java, C++, Go, or JavaScript through coursework, internships, projects, or equivalent practical experience.

Nice-to-haves

Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, data mining, or backend systems.
Familiarity with distributed systems, databases, data pipelines, online experimentation, or large-scale service development.
Experience using data or metrics to debug, evaluate, or improve a product or system.
Strong problem-solving, communication, and collaboration skills.
Interest in building Search products and systems for a large-scale consumer platform.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningllmpythonjavagojavascript

Platform: tiktok
Effort: medium