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We are seeking a Researcher for our Cambridge Residency Programme in the area of People-Centric AI at Microsoft Research Cambridge (UK). The position will focus on developing tools that use AI models to generate dynamic or malleable user experiences, where content is generated to fit the needs of end-users, or is co-created and co-evolves with their input. Candidates should be interested in applying generative AI to activity-centric and collaborative scenarios, and have a background in human-AI interaction. Candidates should have experience in prototyping AI-first experiences such as dynamic UI, AI coding/writing interfaces, or similar.
Job Responsibility:
Use generative AI to develop new methods and prototypes to support groups of users working together, tailoring content and tools to each individual and to the team as a whole
Contribute by developing technologies and creating reusable technical approaches that shape future AI systems for collaborative activities
Work closely with HCI and ML researchers, designers, and engineers
Publish at top research venues
Requirements:
Completed or on track to a PhD in a relevant field (e.g. HCI, ML, Computer Science) or equivalent industry experience
Expertise in researching and developing tools for interactions between generative AI-models and end-users, evidenced by top-tier publications and/or experience
Strong software engineering experience in prototype development, robust evaluation frameworks, or training (post-training) language models, preferably both with and without using AI code agents
Ability to clearly communicate your research to a diverse audience
Motivated to tackle technological problems rooted in real-world human needs, including an interest in how AI systems interact with people and society, and a commitment to designing inclusive, socially impactful technologies
Ability to collaborate in a multidisciplinary setting and iterate technical solutions with feedback from the team/users
Nice to have:
Experience working in a multidisciplinary team, including the ability to clearly translate technical concepts, ideas, and requirements to non-technical and multi-disciplinary audiences