Research Intern - Privacy-preserving machine learning bei Microsoft

Research Intern - Privacy-preserving machine learning

Redmond, Washington, United States
  • Redmond, Washington, United States

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  • Job number 761443
  • Date posted Dec 13, 2019
  • Travel None
  • Profession Research
  • Role type Individual Contributor
  • Employment type Internship

Microsoft Research provides 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.
We are looking for interns to participate in an ongoing collaboration between Cryptography and Machine Learning and Optimization groups on the Machine Learning over Encrypted Datasets. The goal is to blend secure computation techniques (Fully-Homomorphic Encryption, Secure Multi-Party Computation) with the modern machine learning tools (deep neural networks etc.) in order to advance the field of machine learning over sensitive datasets.

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.
We expect interns to conduct both theoretical and applied research in the field of privacy-preserving machine learning. This includes: designing new algorithms, building new cryptographic primitives, producing prototype implementations, and evaluating them on real-world datasets.

Qualifications

In addition to the qualifications below, you’ll need 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 a related STEM field
  • Must have at least 1 year of experience in conducting research and writing peer-reviewed publications.

Preferred Qualifications

  • Expertise in theoretical and applied aspects of Fully-Homomorphic Encryption and Multi-Party Computation
  • Hands-on experience in applied machine learning

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 .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Benefits and Perks


  • Industry leading healthcare
  • Giving programs
  • Opportunities to network and connect
  • Discounts on products and services

Resources


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