The Machine Learning Foundations Group in Microsoft Research (MSR), in Redmond, WA seeks a Researcher – Machine Learning, who has a keen interest in developing the next generation of principled machine learning and optimization algorithms.
This role is 100% remote based in United States of America. Relocation to U.S. does not apply/is not provided for the role.
We offer a vibrant environment for cutting-edge, multidisciplinary research, both theoretical and applied, including access to diverse data sources, an open publication policy, and close links to top academic institutions around the world.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Qualifications:
Required Qualifications:
- Doctorate in relevant field
- OR equivalent experience.
Other Requirements:
Please submit a CV and the names of at least three references as required by the online application.
You should also upload:
- The two conference or journal articles, book chapters, or equivalent writing samples which best demonstrate your expertise;
- An academic statement (approximately 2-4 pages) that outlines both your research achievements and agenda, and your service and outreach activities and plans (for example, those related to mentoring or diversity)
Preferred Qualifications:
- Doctorate in relevant field AND 2+ years related research experience
- OR equivalent experience.
- Applicants must have a demonstrated ability for independent research and a proven track record of academic publications in machine learning or optimization.
- Experience publishing academic papers as a lead author or essential contributor.
- Experience participating in a top conference in relevant research domain.
- Ability to define your own research agenda.
- Demonstrated ability to collaborate, communicate effectively, and work as part of a team
- Well-established research track record of publications, open source software, or other scientific leadership activities.
Research Sciences IC4 – The typical base pay range for this role across the U.S. is USD $112,000 – $218,400 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 $145,800 – $238,600 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
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.
#Research
Responsibilities:
As a Researcher – Machine Learning in Microsoft Research you will
- Develop your research career as a member of a world-class research organization.
- Set your own research agenda and collaborate with other researchers and engineers, with the goal of achieving breakthroughs in the field.
- Have the opportunity to see your ideas come to life in products and services that are used worldwide.
Embody our Culture and Values