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Senior Applied Scientist

Microsoft

Microsoft

Operations
Posted on Dec 13, 2024

Senior Applied Scientist

Redmond, Washington, United States

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Date posted
Dec 06, 2024
Job number
1790137
Work site
Up to 100% work from home
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time

Overview

The Azure AI Speech Group brings together talent in signal processing, speech modeling, statistical modeling, and deep learning to develop and deliver robust, natural, and scalable speech recognition across a wide range of scenarios and languages. As a service model improvement team within the Speech Group, we have industrialized deep learning speech technologies and contributed key innovations to the speech community. We work on all aspects of end-to-end speech technologies, tackling the most challenging problems by inventing new algorithms. To that end, we are looking to hire a a Senior Applied Scientist who is passionate about innovating state-of-the-art speech modeling technologies that impact millions of users.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

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:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • 3+ years of experience in one or more of the following areas: speech recognition, large language models, machine learning, data mining, pattern recognition.
  • 3+ years of programming experience in Python.
  • 2+ years of experience with PyTorch.
  • Extensive experience in speech recognition model development.
  • 3+ years of programming experience in C# (preferred), C++, or Java, with solid engineering practices.
  • Strong software development skills and an aptitude for software design, coding, and quality. Experience with Docker and Kubernetes is a plus

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 for the role until December 27, 2024

Responsibilities

  • Develop novel speech algorithms to advance state-of-the-art speech technologies for real world user scenarios.
  • Leverage large language models, large multimodal models, and other data analysis skills to enhance and improve speech data.
  • Work independently to create product impact by identifying and applying research-backed solutions.
  • Other

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.