Senior Applied Scientist

Senior • Hybrid • On-site

$119,800 - $234,700/yr

Redmond, WA

Overview

Core Search and AI team (Bing) is looking for people who want to build the next generation of search using advanced AI technologies, especially large language models, at scale. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, query and document understanding, summarization to generate document snippets for representation and ranking, and AI search grounding, etc.

As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely.  We collaborate regularly across the company to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.

Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we believe that artificial intelligence will play a critical role in accomplishing that mission. The Core Search and AI team is the leading applied machine learning team at Microsoft responsible for delivering the highest-quality search experience to over 500M+ monthly active users around the world in Microsoft’s search engine, Bing and other dependent search engines such as Yahoo, DuckDuckGo, and new startups like Neeva.

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.
3+ year of industry experiences applying Machine Learning techniques
4+ years of experience coding in Python, C++, C#, C or Java

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.
Experience building and improving large scale Machine Learning system for search, ads, and recommendation, adopting LLM is a plus
Experience researching background on Machine Learning, LLM and NLP
Experience being a fantastic problem solver: ability to identify and solve problems that the world has not solved before

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 $158,400 - $258,000 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

Microsoft will accept applications for the role until June 24, 2025.

#MicrosoftAI

Responsibilities

Advance the state-of-the-art machine learning and NLP algorithms, especially apply LLM models to real-world large-scale search and grounding systems.
Work on the full lifecycle of machine learning development including training data collection, feature engineering, model training, offline and online experimentation, and deployment and maintenance.

Microsoft

Microsoft is a global technology company that focuses on empowering every person and organization to achieve more. With a mission to deliver the core infrastructure and foundational technologies for Microsoft's online businesses, including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform, the company is dedicated to powering the 'Intelligent Cloud' mission. Microsoft values respect, integrity, and accountability, and fosters a culture of inclusion where employees can thrive. The company is committed to continuous improvement and collaboration to drive innovation and provide high-quality results to customers. With a diverse and inclusive workforce, Microsoft is an equal opportunity employer.