Machine Learning Engineer Intern (Ads) - 2027 Summer

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

TikTok USDS Joint Venture is seeking a Machine Learning Engineer Intern to support its U.S. Ads team in building and scaling systems for ads delivery, monetization, and user experience. The intern will analyze large-scale data and experiments, collaborate with cross-functional teams, write maintainable code and documentation, and communicate project progress and learnings.

Responsibilities

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 Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field Able to commit to a 12-week internship during Summer 2027 Familiarity with at least one programming language, such as JavaScript/TypeScript, Python, Java, Go, or similar Strong problem-solving skills, attention to detail, and willingness to learn from feedback.

Interest in developer platforms, full-stack engineering, or AI-assisted development tools Currently pursuing a Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field 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: Hands-on experience Industry exposure Opportunities to apply knowledge to real-world challenges Personal and professional growth Practical experience Opportunities to explore potential career paths Social events Learning programs Development workshops Collaboration with mentors throughout the internship