(General Hire) Machine Learning Engineer Intern… at TikTok · San Jose

Summary: TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer Intern for the 2026 Summer session. The role involves participating in the development of a large-scale Ads system and working on applied machine learning projects. Responsibilities: - Participate in the development of a large-scale Ads system - Responsible for the development of state-of-the-art applied machine learning projects - Own key targeting components or strategies in the TikTok ads monetization ecosystem - Work with product and business teams on product vision Required Qualifications: - BS/MS degree in Computer Science, Computer Engineering, or other relevant majors - Experience in and good theoretical grounding in machine learning concepts and techniques - Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python - Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc - Ability to think critically and to formulate solutions to problems in a clear and concise way - Must be able to commit to a 12-week full-time work period during Summer or Fall 2026 Preferred Qualifications: - Ads system, recommendation, searching, ranking, etc Required Skills: Machine learning concepts and techniques, Go programming, C/C++ programming, Python programming, TensorFlow, PyTorch, MXNet, Ads system, Recommendation systems, Search systems, Ranking systems Internship Start Date: Start in 2026 Summer 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.