Applied Scientist - ICML 2024
Redmond, Washington, United States
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Overview
We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.
Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today!
Come build community, explore your passions and do your best work at Microsoft with thousands of people from every corner of the world.
As a Applied Scientist at Microsoft, you will conduct applied research and lead collaborations that yield innovative solutions, practical data, algorithms, and prototypes that advance the state-of-the-art in applied sciences and engineering, as well as contribute to the resolution of tangible industry challenges. This opportunity will enable you to define research objectives in a specific area of application and initiate the design, development, execution, and implementation of a research agenda to bridge academic knowledge with industry needs. You will provide expertise to product or business groups and may create long-term business opportunities through research outcomes, focusing on delivering immediate product enhancements and demonstrating a clear path to market application.
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.
Qualifications
Required Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
- Registered for or attending ICML (The International Conference on Machine Learning) 2024
Preferred Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical
- OR Computer Engineering,
- OR related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical
- OR Computer Engineering,
- OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 per year.
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#research
Responsibilities
- You will gain expertise in one or more subareas of research and understand applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies.
- You will apply strategies provided by team members and incorporate state-of-the-art research. You’ll also develop an understanding of methods used in the community and gain expertise in a deeply specialized area.
- As you reinforce a positive environment by applying best practices, you will also support mentorship and assist with the onboarding of entry-level team members. Additionally, you will maintain ties with an external network of peers and identify prospective talent, when asked.
- You will document work in progress and share findings to promote innovation within a group. You’ll also learn and follow ethics and privacy policies while executing research processes or collecting information.
