Machine Learning Engineer Intern (Recommendations and Search) - 2027 Start (PhD)

Public source summary from intern-list.com / Jobright.

TikTok USDS Joint Venture’s Tech and Product team works to provide TikTok US users with strong user experiences supported by data security and privacy protections. The Machine Learning Engineer Intern will design, develop, evaluate, and deploy machine learning solutions for recommendation systems and search ranking, while processing large-scale user behavior and catalog data.

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: Hands-on learning Community-building and professional development events Collaboration with industry experts