Researcher – Deep Learning – Microsoft Research

The Deep Learning Group at Microsoft Research Redmond advances the state of the art on deep learning and its applications to neuro-symbolic reasoning, software engineering, program synthesis, question answering, multi-modal intelligence, conversational AI, and natural language processing. We regularly publish in top-tier computer science venues and collaborate with Microsoft product groups including Office, Bing, Dynamics, and Visual Studio.

We seek exceptional researchers with a demonstrated ability for independent research and a strong record of influential publications on deep learning or its applications. An ideal candidate is passionate about the next generation of deep learning technologies and their real-world impact on software development, conversational systems, and human productivity.

We are particularly interested in candidates who thrive in a collaborative, multi-disciplinary environment and can lead independent research in our areas of focus. Prospective candidates must have completed or be close to completion of their PhD.

Responsibilities

As a researcher in Microsoft Research, you lead your own research agenda and collaborate with other researchers, engineers, and product groups. As a member of a word-class research organization, you are expected to aim for research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide.

Qualifications

Minimum Education Level: PhD

Qualifications

Required qualifications:

  • PhD (completed or close to completion) in Computer Science or related field with a focus on Artificial Intelligence, Software Engineering, or related areas.
  • Research ability demonstrated by a strong publication record of top-tier journal and conference publications or submitted/accepted papers in top venues.

Preferred Qualifications

  • Demonstrable ability to develop original research agendas.
  • Ability to work collaboratively in a multi-disciplinary team.
  • Active participation in the scientific community.
  • Strong communication skills.
Posted: April 18, 2021
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