Microsoft

Applied Scientist II

Microsoft$102K — $202K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a relevant field with 2+ years experience or equivalent, OR Master's Degree with 1+ year experience, OR Doctorate
  • 5+ years experience preferred for bachelor's degree holders, 3+ years for master's degree holders
  • Solid background in machine learning and deep learning
  • Experience with LLMs and transformer-based models
  • Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow
  • Solid software engineering skills, including distributed systems and data processing

Responsibilities

  • Apply LLMs to enhance search relevance and automate training data generation
  • Build advanced large-scale neural ranking models and feature processing frameworks
  • Leverage reinforcement learning and user feedback to boost user engagement and retention
  • Develop scalable ML systems essential for millions of daily search experiences

Benefits

  • Comprehensive health care coverage
  • Support for continuous learning and professional development
  • Flexible work arrangements
  • Access to wellness programs and resources
  • Opportunities for career advancement within a leading tech company
Full Job Description
Overview

Our team is leveraging cutting-edge machine learning and LLM technologies to improve user engagement in Bing Search. We are tackling exciting challenges such as:
  • Applying LLMs to improve search relevance and automate training data generation.
  • Building state-of-the-art large-scale neural ranking models and feature processing frameworks.
  • Leveraging reinforcement learning and user feedback signals to optimize long-term user engagement and retention.
  • Developing scalable ML systems that power millions of search experiences every day.

If you're passionate about pushing the boundaries of search and AI, we'd love to hear from you. Feel free to apply below or message me if you have any questions!

Responsibilities
  • Applying LLMs to improve search relevance and automate training data generation.
  • Building state-of-the-art large-scale neural ranking models and feature processing frameworks.
  • Leveraging reinforcement learning and user feedback signals to optimize long-term user engagement and retention.
  • Developing scalable ML systems that power millions of search experiences every day.


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.


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.
  • Solid background in machine learning, deep learning, and large-scale AI systems.
  • Experience with LLMs, transformer-based models, retrieval, ranking, or recommendation systems.
  • Solid understanding of neural network architectures, feature engineering, and model optimization.
  • Experience developing and deploying production-scale ML systems.
  • Proficiency in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow.
  • Solid software engineering skills, including distributed systems, data processing, and system design.
  • Experience with reinforcement learning, online experimentation (A/B testing), or user engagement optimization is a plus.
  • Excellent problem-solving, communication, and collaboration skills.

#MicrosoftAI

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.

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.

Microsoft Careers

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.

Explore Career Opportunities at Microsoft

Whether you're a seasoned professional looking for your next challenge or a recent graduate eager to start your career, Microsoft has a position that suits your skills and ambitions. We are committed to fostering a culture of growth and learning, where every team member is supported in expanding their horizons.

Internship Programs

Kickstart your career with a Microsoft internship. Our internships provide invaluable workplace experience and networking opportunities in a supportive and dynamic environment. You'll work on real projects, learn from industry leaders, and gain the skills necessary for a successful career in technology.

Employment Benefits

Choosing a career at Microsoft means more than just a job. Our employees enjoy a range of benefits designed to empower them both professionally and personally. These include comprehensive health benefits, flexible working conditions, and opportunities for career advancement through professional development and diversity training.

Inclusive Culture and Diversity

At Microsoft, we believe that innovation comes from diversity of thought and inclusion. We are committed to a workplace where everyone feels valued and inspired. Our leadership is dedicated to fostering an environment where diverse perspectives lead to breakthrough innovations and a competitive edge.

Grow with Us

Career growth at Microsoft is about more than climbing the corporate ladder; it's about continuous learning, expanding your skills, and improving your capabilities. With access to various leadership and training programs, you can evolve as a professional and make a significant impact within the company and on the global stage.

Hiring Process

Our hiring process is designed to identify true potential. Starting with a review of your resume, followed by interviews that assess your problem-solving abilities and cultural fit, we ensure that all candidates have a fair chance to demonstrate their strengths and potential to contribute to our team.

Networking and Professional Development

Microsoft is a place where you can build a professional network that spans the globe. Our employees benefit from connections with top-tier professionals and industry leaders, which opens doors to innovative projects and collaborative opportunities that are second to none.

Join Our Team

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.

Stay Connected

Keep up to date with the latest at Microsoft Careers by subscribing to our job alert emails. Get tailored content that aligns with your career preferences and discover the exciting and rewarding opportunities that await at Microsoft.

SEARCH MICROSOFT JOBS

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
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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