User Experience Research Intern

Program Duration

The internship program will run from June 1 through August 31, 2027.

Where you’ll work

This is a hybrid role and requires in-office collaboration in our Los Angeles office three times per week.

About the Role

You'll join Tinder's UX Research team for a summer and work on real studies that ship into the product. You'll partner with researchers, designers, PMs, and data scientists to figure out how people use Tinder and where it can be better. You'll own a defined piece of a project, and you'll present what you find to the team at the end.

What you'll do:

• Support live research projects by helping plan studies, recruit participants, and run sessions
• Run usability tests and user interviews, and help design and field surveys
• Analyze qualitative and quantitative data and pull out the patterns that matter
• Turn findings into clear recommendations for Product and Design
• Share your work through short written reports, creative artifacts, and presentations
• Help improve how the UXR team documents its processes
• Deliver a capstone project and present it to the team at the end of the internship

What we're looking for:

• Currently pursuing a Bachelor's or Master's degree in HCI, Design, Psychology, Cognitive Science, Sociology, or a related field (or a recent graduate)
• Some hands-on research experience through coursework, a lab, a capstone, or a prior internship
• Familiarity with qualitative and quantitative methods, such as interviews, usability testing, and surveys
• Strong analytical and organizational skills, and comfort juggling more than one project
• Clear communication, written and verbal
• Curiosity about people and a collaborative, low-ego approach to working with others

Nice to have:

• Genuine interest in social apps and how Gen Z uses them
• A portfolio or sample of research work, such as a case study or project writeup

What you will get

• Mentorship from a UXR team member and a defined project with real visibility
• Exposure to cross-functional work across Product, Design, and Data Science