Machine Learning Engineer Intern (Recommendations and Search) - 2027 Start (PhD)
Job details
- Employment
- Internship
- Level
- Internship
- Education
- PhD
- Posted
- Oct 10, 2026
- Last confirmed open
- Oct 10, 2026
About this role
Public source summary from intern-list.com / Jobright.
TikTok USDS Joint Venture is hiring a Machine Learning Engineer Intern to build and scale machine learning solutions for recommendations, search, and e-commerce. The role focuses on personalized user experiences while maintaining data governance, privacy compliance, and system security for U.S. users.
Responsibilities
Design, build, train, and evaluate machine learning models for recommendation systems or search ranking Implement efficient pipelines for feature extraction, model training, evaluation, offline-to-online deployment, and A/B testing Process and analyze massive user behavior data and catalog logs using distributed systems to construct real-time and offline features
Qualifications: Currently pursuing a PhD degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field Able to commit to a 12-week internship during Summer 2027 Proficient coding skills and strong algorithm & data structure basis Effective communication and teamwork skills Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch Ability to think critically, rationally, and communicate in result-oriented, data-driven manner
Benefits: Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year. Interns also receive 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.