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Overview

The Deep Learning Group (https://www.microsoft.com/en-us/research/group/deep-learning-group/) at Microsoft Research Redmond advances the state of the art on deep learning, foundation models and their applications to neuro-symbolic reasoning, software engineering, program synthesis, question answering, multi-modal intelligence, interactive Artificial Intelligence (AI), and natural language processing. We regularly publish in top-tier computer science venues and collaborate with groups including Experiences and Devices, Core AI, and Bing.

We seek a Principal Researcher with a demonstrated ability for independent research and a record of influential publications on deep learning, and its applications. This person would be passionate about the next generation of deep learning technologies, foundation models and their real-world impact on computer vision, natural language processing, and multi-modality intelligence.

We are particularly interested in candidates who thrive in a collaborative, multi-disciplinary environment and can lead independent research in our areas of focus.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Responsibilities

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

Qualifications

Required Qualifications:

+ PhD in Computer Science or related field with a focus on Artificial Intelligence, Software Engineering, or related areas AND 3+ years related experience

+ OR equivalent experience.

Preferred Qualifications:

+ PhD in relevant field AND 5+ years related research experience

+ OR equivalent experience.

+ Research experience within Deep Learning for AI.

+ Research ability demonstrated by a publication record of top-tier journal and conference publications or submitted/accepted papers in top venues (NNACL, EACL, ACL).

+ Experience with developing original research agendas.

+ Ability to work collaboratively in a multi-disciplinary team.

+ Active participation in the scientific community.

+ Effective communication skills.

+ Passionate about AI research.

\#Research

\#MSRR

Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)