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Principal Applied Scientist - ML & Deep Learning

Microsoft Corporation

Redmond, WAJob$143–275K/yrPosted 3 days agoStill listed 1 day ago

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At a glance

Compensation
$143–275K/yr
Location
Redmond, WA
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Requirements

Credentials this posting asks for.

Microsoft Cloud Background Check, required

Job overview

Microsoft is developing its Intelligent Conversation and Communications Cloud to support real-time conversation products and make interactions smarter through real-time information and automation. The Principal Applied Scientist will collaborate with AI researchers and audio signal processing experts to build end-to-end machine learning systems for human-human and human-AI interactions, develop and evaluate ML pipelines, ship and update production models, and contribute to the team’s intellectual property portfolio.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning, nice to haveDeep Learning, nice to haveStatistics, nice to havePredictive Analytics, nice to haveAudio Signal Processing, nice to haveData Cleansing, nice to haveFeature Engineering, nice to haveResearch, nice to haveProduction Systems, nice to havePublication Creation, nice to haveConference Presentations, nice to haveProduction Deployment, nice to haveProduct Development, nice to haveCode Delivery, nice to haveML Pipelines, nice to haveAudio Digital Signal Processing, nice to have

Qualifications

Bachelor's, Master's, Doctorate or Equivalent Experience, required6+ Years Industry ML Experience, nice to have5+ Years Publication Experience, nice to have2+ Years Conference Presentation Experience, nice to have5+ Years Research Experience, nice to have3+ Years Production Systems Experience, nice to have3+ Years Product Cycle Experience, nice to haveMicrosoft Cloud Background Check, requiredMicrosoft Security Screening, required

Full job description

Overview We are developing the Intelligent Conversation and Communications Cloud (IC3) to support Microsoft’s real-time conversation products like Teams, serving millions of users with dependable audio, video calls, meetings, and chat services. We also offer our core features to third-party partners to enhance their products. IC3 aims to make conversations smarter by providing real-time information and automating actions during interactions. Each call, meeting, or chat will make future conversations better.

We are looking for a Principal Applied Scientist to join our team!

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.

Responsibilities

  • Collaborating with AI researchers and audio signal processing experts to design and build end-to-end ML systems, tuned for human-human and human-AI interactions.
  • Design and develop ML pipelines involving data cleaning, feature engineering, model training, and evaluation.
  • Work across the product lifecycle from prototyping to shipping production-grade code optimized for performance and memory and updating the deployed models based on A/B testing.
  • Remain up to date with latest advancements, trends and research and contribute towards our IP portfolio.

Qualifications Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years 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:

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

  • OR equivalent experience.

  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

  • 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

  • 5+ years experience conducting research as part of a research program (in academic or industry settings).

  • 3+ years experience developing and deploying live production systems, as part of a product team.

  • 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

  • 6+ years of industry experience in development/deployment of machine learning algorithms.

  • Experience with code delivered in shipping products.

  • Experience in building production-grade ML pipelines.

  • Domain specific experience in Audio Digital Signal Processing.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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.

How this job compares

Set against the 956 open Applied Scientist jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This posting$143–275K/yr
  • Washington median$143–226K/yr243 salary ranges
  • US median$158–249K/yr917 salary ranges

This range's midpoint, $209K, is 6% above the Washington median midpoint ($197K) — in the top quarter of Applied Scientist salary ranges in Washington.

Openings
Olive Jobs lists 249 open Applied Scientist jobs in Washington and 956 across the US. 1% of them nationwide are listed as remote or flexible.
Hiring the most in Washington
Experience
This posting asks for at least 3 years of experience; Applied Scientist postings that state a minimum ask for 4 years at the median (783 postings).
Education
309 of the 956 open Applied Scientist jobs (32%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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