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Research Intern Applied Machine Learning

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Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers. Our researchers and engineers pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Our Mixed Reality Team works on the frontiers of Computer Vision and Visual Learning to enable wearable devices connected to the Cloud provide physical and human augmentations of the real world for commercial and consumer scenarios. As an Intern in Mixed Reality (Hololens) R&D you will work alongside passionate and talented scientists and engineers who are working to innovate and build ground-breaking technologies and products for human augmentation through Mixed Reality. You will conduct both fundamental and applied research in computer vision, visual learning, health and wellness under the supervision of Microsoft mentors, publish your results, build prototypes and demonstrations.
Responsibilities
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.
Qualifications
In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Required Qualifications
Ph.D. candidate in Computer Vision, Deep Learning, Machine Learning, AI, Health and Wellness or a related field.
At least a year of research experience in computer vision, deep learning, machine learning, and AI methodology.
Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship
Preferred Qualifications
Ideal candidates would have one or more of the following qualifications:

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Strong algorithmic problem solving and software development skills (C/C++, Python, etc.).
Demonstrated ability to develop original research agenda.
Experience with open source tools such as PyTorch, Tensorflow, Caffe, etc.
Publication(s) in top-tier conferences or journals in related fields (e.g., CVPR, ECCV, EMBC, IMWUT, ISWC, UbiComp, ICCV, NIPS, ICML, IJCV, PAMI, etc.).
Excellent communication and writing ski
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.

To apply for this job please visit careers.microsoft.com.