Machine Learning Engineer Intern (TikTok-Data-Search-Basic Ranking) - 2027 Start (PhD)
Job details
- Employment
- Internship
- Level
- Internship
- Education
- PhD
- Posted
- Oct 12, 2026
- Last confirmed open
- Oct 13, 2026
About this role
Public source summary from intern-list.com / Jobright.
TikTok is hiring a PhD Machine Learning Engineer Intern to contribute to search products and research. The intern will support search feature development, analyze large-scale data to improve search quality, and collaborate with engineering, product, data science, and machine learning partners.
Responsibilities
Support the design, implementation, testing, and iteration of Search features, services, or tools under the guidance of engineers and mentors Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones Write clear, maintainable code and documentation for assigned workstreams Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship
Qualifications: Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline Proficient coding skills and strong algorithm & data structure basis Effective communication and teamwork skills Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, ads, content understanding, or data mining projects Familiarity with databases, distributed systems, data pipelines, experimentation, or large-scale backend services Experience using data to investigate product, user, or system problems Ability to communicate technical ideas clearly and collaborate with cross-functional partners Interest in improving search experiences for large-scale consumer products
Benefits: 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.