Senior Applied Scientist

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Develop, deploy, and own production-scale machine learning and generative models (LLMs/SLMs). Perform large-scale data analysis, feature engineering, experiment design, prompt engineering, and optimization. Work with petabyte-scale datasets, write production code, and communicate concise, actionable insights to senior leadership.
Summary Generated by Built In
Overview

We seek a Senior Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants. Microsoft AI unites product, engineering, and science teams to advance Bing and Consumer Copilot, aiming to provide the best generative search experience through advanced AI/ML technologies and innovative AI features.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Building and owning production machine learning models to improve results.
  • Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
  • Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
  • Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc. 
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

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:

  • Master'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 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.
  • Proficient oral and writing skills. 

#MicrosoftAI #ML #GenAI


Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.

Skills Required

  • Expertise in Machine Learning, Generative AI, Agentic Modeling, or Data Science
  • Hands-on experience with LLMs/SLMs (e.g., Qwen, Llama, Mistral, GPT, Gemini, Claude)
  • Professional experience in prompt engineering with large LLMs
  • Experience building and owning production machine learning models
  • Experience designing experiments and applying statistical, regression, classification, NLP, and optimization techniques
  • Experience wrangling very large-scale data (petabyte-scale) and using open-source/tools for data processing
  • Programming proficiency (especially Python, C#, R, C++, Java, SQL)
  • Bachelor's in Statistics, Econometrics, Computer Science, EE/CE or related field AND 4+ years experience; OR Master's AND 3+ years; OR Doctorate AND 1+ year; OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements (Microsoft Cloud background check)
  • Master's with 6+ years or Doctorate with 3+ years (preferred alternative experience level)
  • Proficient oral and written communication skills

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

Microsoft Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

Similar Jobs

Samsara Logo Samsara

Scientist

Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Easy Apply
Remote or Hybrid
United States
4000 Employees
170K-286K Annually

Optum Logo Optum

Scientist

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
Bellevue, WA, USA
160000 Employees
130K-163K Annually

Microsoft Logo Microsoft

Scientist

Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
In-Office
2 Locations
206870 Employees
120K-261K Annually

Microsoft Logo Microsoft

Scientist

Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
In-Office
2 Locations
206870 Employees
120K-261K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account