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Applied Scientist II

Microsoft

Applied Scientist II

Microsoft

United States, Washington, Redmond; United States, California, San Francisco; United States, California, Mountain View; United States, California, Sunnyvale

·

On-site

·

Full-time

·

1mo ago

Compensation

$100,600 - $199,000

Required Skills

Machine Learning

Large Language Models

Research

Overview:

Come build the core of Microsoft Copilot for enterprise with the Microsoft Turing Team, where you'll join a collaborative group of applied scientists and engineers pushing the frontier of large language models (LLMs) to improve the productivity of hundreds of millions of users around the world.

Our team is responsible for the core systems that power Microsoft 365 Copilot Chat, delivering intelligence, quality, and transformative new features. We work at the intersection of research and engineering—advancing orchestrator reasoning, training next‑generation models, and shipping impactful, model‑driven experiences in Microsoft 365 Copilot. We are hiring an Applied Scientist II who will contribute directly to this work.As an Applied Scientist, you will:

  • Evolve our orchestrator to reason more effectively, respond faster, and support new capabilities in multi‑modality, agent‑based systems, and beyond.
  • Advance state‑of‑the‑art model training—including fine‑tuning, reinforcement learning, high‑quality data curation, and experimentation with frontier model training.
  • Build and deliver model‑driven features end‑to‑end—from development and evaluation to metrics and A/B testing.

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- Master a broad research area and understand relevant research techniques.
  • Act as a team expert on industry trends, products, and advances, applying this knowledge to influence product needs.
  • Review business and product requirements, incorporate research insights, and provide strategic guidance for problem‑solving.
  • Ensure scientific rigor, support method development, and apply expertise to drive business impact.
  • Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives.
  • Share research findings through industry outreach, collaborate with the academic community, and support recruiting pipeline development.
  • Document experimentation and results to promote innovation.
  • Provide guidance on capturing processes and contribute to ethics and privacy policies related to research practices and data collection.

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.

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:- 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 or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
  • 1+ year(s) experience creating publications at top conferences like ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), WSDM (Web Search and Data Mining), COLING (International Conference on Computational Linguistics), WWW (World Wide Web Conference), NIPS (Neural Information Processing Systems), ICASSP (International Conference on Acoustics, Speech, and Signal Processing), etc.
    #msturingjobs #msai #M365CORE

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.

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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Data and Applied Scientist

0 reports

$202,099

total / year

Base

$149,342

Stock

$32,252

Bonus

$20,505

$139,572

$301,212

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience