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# Machine Learning Engineer Graduate

- **Company:** Tiktok Inc
- **Location:** San Jose, CA, United States
- **Experience:** Starter
- **Salary:** $128,000.0 - $256,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Systems Engineering, C++ (Programming Language), Databases, Computer Engineering, Content Analysis, Data Mining, Software Debugging, Distributed Systems, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Service Development Studio, Large Language Models, Backend, Information Technology, Low Latency, Search Engines, Data Pipelines, Golang
- **Published:** November 5, 2026
- **Apply:** https://www.themuse.com/jobs/tiktok/machine-learning-engineer-graduate-tiktok-data-search-search-quality-2027-start

## About the Role

Minimum Qualification(s)

 - Currently pursuing or recently completed a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Statistics, Mathematics, or a related technical discipline.
 - Must have graduated with an applicable degree before onboarding.
 - Experience with at least one programming language such as Python, Java, C++, Go, or JavaScript through coursework, internships, projects, or equivalent practical experience.

Preferred Qualification(s)

 - 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.

## 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 systems and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving., 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.