Overview:

Research internships at Microsoft offer the opportunity to work in a dynamic research environment alongside worldclass scientists and engineers, tackling challenging problems across computing, healthcare, economics, and the environment. This internship is a collaboration between Microsoft Research Cambridge and the One Drive and Share Point (ODSP) Applied Science team, bringing together research and product perspectives to explore the future of AI assisted content creation.

The MSR Cambridge People-Centric AI team focuses on how AI can empower people in their work and daily lives, and ODSP Applied Science drives innovation in how users create, organize, and interact with their content across Microsoft products. Together, the teams are exploring new forms of dynamic content and generative user experiences that adapt to individual users’ context, roles, and preferences. We encourage applications from candidates with backgrounds in human-computer interaction, interaction design, or related fields who are excited about the intersection of AI, creativity, and user-centred design.

During the internship, you will collaborate with researchers and product teams to explore novel interaction paradigms for AI assisted content authoring. The scope of the project will be shaped by both the team’s research direction and your interests and expertise. Interns are expected to present their work internally at the end of the internship and to contribute to research outputs suitable for submission to leading academic venues.

Internships offer an opportunity to work in a supportive, inclusive, and collaborative environment. You’ll join a culture that values growth mindset and teamwork, providing you with opportunities to be mentored by world-class AI researchers and engineers, as well as other learning and career development resources as you help shape the future of content and collaboration in Microsoft.

Location: Cambridge Length: 12 Week Internship

Responsibilities:

In collaboration with your mentors and our interdisciplinary team, you will contribute to research on AI-assisted content authoring in the form of one or more of the following:

• Explore how authors can specify intent for generative UX that adapts to different audiences and contexts.
• Design and build prototypes to test new interaction patterns for generative UX.
• Conduct user studies to understand how people think about authoring in this new paradigm.
• Distil insights into communications such as a research paper, prototype demonstration, or presentation for internal and external audiences.

Qualifications Required/Minimum Qualifications:

• Currently enrolled in a PhD program in human-computer interaction, computer science, machine learning, NLP, design, or a related field.
• Experience designing and conducting user studies.
• Comfortable prototyping interactive systems and engaging with interdisciplinary research.
• Openness to collaborating across disciplines.
• Hands-on experience using and prototyping with generative AI models

Preferred/Additional Qualifications:

• Experience with generative AI or LLM-based applications.
• Familiarity with web technologies for building interactive prototypes.
• Strong communication and research skills evidenced by publications at top conferences and journals in HCI/ML/NLP.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.