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Job Details
Posted date: Feb 05, 2025
There have been 5 jobs posted with the title of Applied Scientist II all time at Microsoft.There have been 5 Applied Scientist II jobs posted in the last month.
Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $153,550
Range: $98,300 - $208,800
Employment type: Full-Time
Travel amount: 25.0%
Work location type: Up to 50% work from home
Role: Individual Contributor
Description
Microsoft Audience Network (MSAN) part of the Web Experiences Team (WebXt) is seeking a Applied Scientist to join us in Mountain View, CA or Redmond, WA.This is an exceptional opportunity to apply your advanced skills in one of the fastest-growing businesses, to solve real-world problems on a scale. Our goal at MSAN is to maximize value for users and advertisers through our platform.
As an Applied Scientist II, you will specialize in creating and enhancing machine learning technologies in areas such as natural language processing (NLP), computer vision (CV), and large language models (LLM). You will be a key player within a dynamic team, contributing to and collaborating with other talented colleagues on cutting-edge machine learning challenges from a real ads recommender system.
Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising. The exponential growth of online advertising offers immense opportunities. At Microsoft, we are constantly challenging ourselves, infusing curiosity and imagination to reshape the realm of possibilities. We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset.
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.
Building and maintaining production machine learning models for ad retrieval, quality prediction and ad ranking. Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis. Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them. Craft and Optimize Prompts for Effective Large Language Models (LLMs) Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback.Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. 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 Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experienceOR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experienceOR Doctorate in Computer Science, Electrical or Computer Engineering, or related fieldOR equivalent experience.1+ years of experience with Large Language Models (LLMs)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, Electrical1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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 February 10, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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