Machine Learning Engineer Intern (Recommendations and Search) - 2027 Start (PhD)
Job details
- Employment
- Internship
- Level
- Internship
- Education
- PhD
- Posted
- Oct 6, 2026
- Last confirmed open
- Oct 7, 2026
About this role
Public source summary from intern-list.com / Jobright.
TikTok USDS Joint Venture is seeking a PhD Machine Learning Engineer Intern to contribute to products, research, and emerging technologies. The role focuses on developing recommendation and search-ranking models, building machine learning pipelines, and analyzing large-scale user and catalog data while supporting secure, privacy-compliant experiences for US 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 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: Hands-on learning Community-building events Professional development events Collaboration with industry experts