Microsoft Corp logo

Applied Scientist II

Microsoft Corp

  • Sunnyvale, CA
  • 6 days ago
  • $102,100–$202,200 Per Year

Highlights

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. 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.

Numbers & Facts

LocationSunnyvale, CA
IndustryComputer Software
Salary$102,100–$202,200 Per Year
Company Size10,000 employees or more
Year Founded1975
Websitehttp://www.microsoft.com

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

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

  • 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:

  • Bachelors 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 Masters 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:

  • Bachelors 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 Masters 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.

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.

About Company

DO WHAT YOU LOVE
Make your mark on the world’s most used technologies. Develop the next hit mobile application. Pioneer a startup that could be the next big thing. At Microsoft, you choose your path.

Headquartered in Redmond, Washington, Microsoft is a top innovator in both the consumer and enterprise technology industry. Just a few of the many things our products do are unleash creativity, connect businesses, and make learning more fun. But our continued success is based on one thing: our employees. We hire amazing, talented people and give them the opportunities—and the tools—to succeed.

WHY MICROSOFT?
As a Microsoft employee, you’re surrounded by a diverse group of the smartest people in your field. This fosters new ideas, better business results, and creates a dynamic work environment. In the office, you’re constantly challenged and supported by your colleagues. Every day holds something new and exciting.

We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference.

WE GET IT – YOU’RE MORE THAN YOUR JOB
Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it.

GET THE BALL ROLLING

Similar Jobs