Microsoft

Senior Applied Scientist

Microsoft • $119K — $234K *
Redmond, WA 98052In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field with 4+ years of experience, or a Master's degree with 3+ years, or a Doctorate with 1+ year, or equivalent experience.
  • Hands-on experience with LLMs or SLMs like Qwen or Llama.
  • Expertise in experimental prompt tuning and generative modeling.
  • Professional experience with machine learning techniques, particularly involving NLP and feature engineering.
  • Strong programming skills in languages such as Python, C#, R, C++, Java, or SQL.

Responsibilities

  • Build and maintain production machine learning models for enhanced outcomes.
  • Develop impactful solutions using state-of-the-art generative models like Qwen, Llama, and GPT.
  • Extract insights from large-scale data employing various analytical methods, including regression and classification.
  • Engineer prompts effectively for large LLMs including GPT, Gemini, and Claude.
  • Design experiments and interpret data to draw valuable and actionable conclusions.
  • Manage and process vast datasets efficiently using diverse tools.
  • Present complex data insights clearly to support senior executives in decision-making.

Benefits

  • Eligibility for benefits and additional compensation.
  • Participation in a structured security clearance process post-hire.
  • Opportunity for professional growth in a leading tech environment.
  • Involvement in innovative projects using cutting-edge technology.
Full Job Description
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.

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.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Join Microsoft today and be part of a company that values innovation, leadership, and diversity in its workforce. As a global leader in technology and digital transformation, Microsoft offers unparalleled job opportunities that propel your career to new heights.

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If you're ready to take on exciting challenges and make a difference in the world of technology, explore the job opportunities at Microsoft. Search for open positions that match your skills and interests, and prepare to embark on a rewarding career path filled with innovation and opportunities for personal and professional growth.

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At Microsoft, your future is limitless. Join us in our mission to empower every person and every organization on the planet to achieve more. Your journey with Microsoft starts here.
Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Enterprise Technology
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ
MSFT
* Ladders Estimates

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