Research Intern - Computer Vision

Last updated 5 days ago
Location:Redmond, Washington
Job Type:Full Time

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.

Applied Sciences is an applied research and development team dedicated to creating the next generation of computer interaction technologies. The interdisciplinary group focuses on the synergy between optics, vision, electronics, software, manufacturing technology, materials science, acoustics, and signal processing using other sensory inputs to create novel human computer interfaces. These explorations help incubate next generation technologies and experiences across several of Microsoft’s devices such as Surface, Xbox, Mobile, Hub and HoloLens. The team works collaboratively with these business groups as well as other research divisions within Microsoft, such as Microsoft Research, to not only push beyond the boundaries of present technical feasibilities but also to transfer fundamental concepts into shipping solutions that can be experienced by millions.

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. The result could be a product prototype and/or published as a scientific paper.

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

  • Must be currently enrolled in a PhD program in Computer Science or Electrical Engineering.
  • Must have 2 years of experience in Computer Vision or Machine Learning.
  • Must have at least 1 published peered paper in computer vision.
  • Must have 1 year of experience in deep learning.

Preferred Qualifications

  • Demonstrated ability to develop original research agendas.
  • Good programming skill at least Python
  • Published paper in CVPR, ECCV, ICCV or NIPS
  • Must be able to collaborate effectively with other researchers and product development teams.
  • Excellent interpersonal skills, cross-group and cross-culture collaboration.

. Ability to think unconventionally to derive creative and innovative solutions.

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.