Researchers in artificial intelligence are harnessing the explosion of digital data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines that extend the human ability to sense, learn, and understand. The research infuses computers, materials, and systems with the ability to reason, communicate, and perform with humanlike skill and agility.
Microsoft’s deep investments in the field are advancing the state of the art in machine intelligence and perception, enabling computers that understand what they see, communicate in natural language, answer complex questions, and interact with their environment. In addition, the company’s researchers are thought leaders on the ethics and societal impacts of intelligent technologies. The research, tools, and services that result from this investment are woven into existing and new products and, at the same time, made open and accessible to the broader community in a bid to accelerate innovation, democratize AI, and solve the world’s most pressing challenges.
The Knowledge Technologies and Intelligent Experiences Group (KTX) advances science in areas such as productivity, digital assistants, search, and privacy-preserving machine learning. We apply our research to important scenarios that further our vision and align with product objectives.
Research interests in KTX span many areas, including machine learning, natural language processing, knowledge extraction and representation, information retrieval, and human-computer interaction. We develop significant new advances in these areas and infuse these advances into Microsoft’s experiences, services, and devices, to empower people to achieve more. We publish our research findings at top-tier venues in computer science and beyond.
Current examples of the research in KTX include enhancing people’s productivity by developing intelligent assistance around email, tasks, and the collaborative creation and consumption of documents, and building experiences that span multiple devices and use signals such as device proximity. We also investigate privacy in machine learning to enable our systems to continually improve while protecting the confidentiality of people’s documents and correspondence.
Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, students are paired with mentors and expected to collaborate with other interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Interns are expected to contribute actively to the shaping and direction of the internship project to ensure maximum impact in 12 weeks.
- Must be currently enrolled in a doctoral program in Computer Science or a related STEM field.
- Pursuing research in at least one of the following areas: machine learning, natural language processing, knowledge extraction and representation, information retrieval, and human-computer interaction
- Must be able to collaborate effectively with other researchers and product development teams
- Excellent interpersonal skills, cross-group, and cross-culture collaboration
Experience with one or more of:
- state-of-the-art machine learning techniques, especially in deep learning
- privacy-preserving machine learning or differential privacy, especially for text data
- developing working prototypes of new user experiences
- working with large scale data sets
- designing and running user studies, in person or remotely (e.g., via crowdsourcing platforms)
- Self-motivated and self-directed
Candidates who may not have all these qualifications are encouraged to apply.
We encourage applicants to submit their information by the end of December. We will select applicants and conduct interviews in January. We expect to make final decisions by the end of January.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.