QualificationsDeep learningMachine learningNatural language processingAIDoctoral degreeDoctor of Philosophy
The Productivity + Intelligence group is passionate about developing universal solutions to all information access scenarios with abilities of semantic search, complex reasoning, robust generalization, and breaking boundaries between various user scenarios and data modalities. To achieve that goal, we bring together experts throughout Microsoft Research and product teams to conduct fundamental and applied research in pretraining, representation learning, dense retrieval, graph learning, domain generalization, and many related challenges.
We offer a vibrant environment for cutting-edge, multidisciplinary, research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic
As a key contributor on our mission to achieve universal search and recommendation, you will work with other team members to conduct fundamental research and build systems toward our goal of push-button semantic search for everyone. Potential research directions to achieve that goal include: better pretraining, representation learning, network architecture modeling, learning strategies, etc. As a team member in Microsoft Research, you will have the opportunity to develop your career as a member of a world-class research organization. You will also have opportunities to have your ideas realized in products and services that will be used worldwide.
PhD (completed or close to completion) or equivalent experience with anticipated graduation on or before September 2022, in computer science or other related field (e.g., statistics, information science). An example of equivalent experience is 3+ years of experience working on cutting-edge techniques in deep learning, NLP, IR or related fields and 5-10 publications in relevant top tier conferences and journals – at least three of which you are primary author.
A research track-record demonstrated by publications as primary author in a top-tier peer-reviewed outlet on AI, NLP, Information Retrieval, or Machine Learning conference (e.g. NeurIPS, ICLR, ACL, WSDM, ICML, KDD, SIGIR, etc.) or engineering contributions to top-notch AI projects in these areas.
Experience working across academic disciplines; or experience across theoretical and applied settings.
A well-established research track record as demonstrated by publications, open-source software, etc.
Demonstrated ability to collaborate and communicate effectively as part of a team.
Experiences in large scale language model training on multi-machine GPU environments.
Extensive hands-on experience with common deep learning frameworks.
Please submit a CV and we recommend you provide:
At least two conference/journal publications, book chapters or other writing samples which best demonstrate your expertise
An academic statement (1-4 pages) that outlines both your research achievements and agenda, as well as your service and outreach activities and plans (for example, those related to mentoring or diversity)
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.