User Experience Research Intern, MS, Summer 2027

Socket.dev; Mountain View (CA); On-site; USD 88,000 - 117,000; Full time

Job summary

Google is seeking a UX Research Intern in the United States to collaborate with multidisciplinary teams and contribute to understanding user needs and behaviors. You will conduct studies, synthesize findings, and inform design decisions that shape experiences for billions of users.

The role emphasizes methodological rigor, cross-functional collaboration, and communication of insights to product teams. The internship lasts 12 weeks, with a strong emphasis on applying research to product design.

Qualifications

• Pursuing a Master's degree in a relevant field.
• Experience with usability studies, surveys, contextual inquiry, or related methods.
• Ability to integrate research insights into product design.

Responsibilities

• Design and conduct independent research using qualitative methods and select quantitative approaches when needed.
• Collaborate with design, engineering, and product management to keep user-centric, data-driven decisions.
• Communicate research findings clearly and advocate them beyond the project team.
• Collect and analyze user behavior via lab studies, field visits, ethnography, surveys, and A/B experiments.

Skills

Research methods

User research

Statistics

Communication

Collaboration

Education

Master's degree (or in progress) in Human Factors, Psychology, HCI, Cognitive Science, CS, Information Science

Job description

Minimum qualifications:

• Currently pursuing a Master's degree in Human Factors, Psychology, Human Computer Interaction, Cognitive Science, Computer Science, Information Science, or a related field.
• Internship, work, or project experience with research design utilizing various methods (e.g., usability studies, contextual inquiry, surveys, etc.).
  

Preferred qualifications:

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
  
• In their penultimate academic year or returning to a degree program after completion of the internship.
  
• Experience integrating user research into product designs and design practices.
• Knowledge of statistics and experimental design.
  
• Excellent communication, negotiation, and collaboration skills.
  

About the job:

User Experience (UX) is made up of multi-disciplinary teams of Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers who focus on customer experience. We play an integral part in gathering insights about product user needs, attitudes, and behaviors to inspire and inform design. We collaborate closely with each other, engineering, and product management to create products that deliver value for our users and Google’s businesses.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $88000 - $117000 (USD) + 0% bonus target

Learn more about benefits at Google.

Responsibilities:

• Design and conduct independent research using a variety of qualitative research methods, utilizing quantitative methods when necessary.
• Work cross-functionally with design, engineering, and product management to ensure teams makes user-centric, data-driven decisions.
• Ensure effective communication of research findings and advocate findings outside of the project team.
• Collect and analyze user behavior through lab studies, field visits, ethnography, surveys, benchmark studies, server logs and online experiments (A/B testing).