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Seattle, United States

Senior Applied Scientist Senior Applied Scientist

Location
Seattle, United States
Job Number
200025241-en-1
City
Seattle
Team
Other
Country
United States
Discipline
Applied Sciences
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 to deliver high quality search results by document/answers summarization for representation and ranking, query and document understanding, and AI search grounding.

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
  • Design, train, and improve large-scale machine learning models for Bing Search relevance and ranking, with a focus on transformer-based and LLM-powered approaches.
  • Own end-to-end model development, including problem formulation, feature design, training, offline evaluation, and online A/B experimentation.
  • Develop and optimize multi-stage ranking stacks (recall, coarse ranking, fine ranking) to deliver high-quality, low-latency search results at global scale.
  • Leverage LLMs for query and document understanding, summarization, representation learning, and grounding to enhance ranking quality.
  • Address cold-start and sparse-data challenges through content understanding, pre-training, and representation sharing.


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.

Additional or 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.
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
3+ years experience conducting research as part of a research program (in academic or industry settings).
1+ year(s) experience developing and deploying live production systems, as part of a product team.
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
  • Experience building and improving large scale Machine Learning system for search, ads, and recommendation.
  • Research background on Machine Learning, LLM and NLP.
  • Fantastic problem solver: ability to identify and solve problems that the world has not solved before.

 

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

 

#MicrosoftAI 



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


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.

Seattle, United States

Applied Scientist Applied Scientist

Location
Seattle, United States
Job Number
200025236-en-1
City
Seattle
Team
Other
Country
United States
Discipline
Applied Sciences
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 to deliver high quality search results by document/answers summarization for representation and ranking, query and document understanding, and AI search grounding.

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
  • Design, train, and improve large-scale machine learning models for Bing Search relevance and ranking, with a focus on transformer-based and LLM-powered approaches.
  • Own end-to-end model development, including problem formulation, feature design, training, offline evaluation, and online A/B experimentation.
  • Develop and optimize multi-stage ranking stacks (recall, coarse ranking, fine ranking) to deliver high-quality, low-latency search results at global scale.
  • Leverage LLMs for query and document understanding, summarization, representation learning, and grounding to enhance ranking quality.
  • Address cold-start and sparse-data challenges through content understanding, pre-training, and representation sharing.


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.

Additional or 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.
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
  • Experience building and improving large scale Machine Learning system for search, ads, and recommendation.
  • Research background on Machine Learning, LLM and NLP.
  • Fantastic problem solver: ability to identify and solve problems that the world has not solved before.

 

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

 

#MicrosoftAI 



Applied Sciences IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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.

Seattle, United States

Senior Account Manager Senior Account Manager

Location
Seattle, United States
Job Number
200024115-en-2
City
Seattle
Team
Microsoft Advertising
Country
United States
Discipline
Advertising Client Success
Overview

Microsoft Advertising (MSA) empowers the largest advertisers around the world to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking top performing Account Executives with digital advertising experience who can drive revenue and increase customer satisfaction by developing and cultivating strategic client relationships and delivering customized solutions aligning to the client’s advertising needs. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

As an Account Manager (AM), you will enable Microsoft to better serve clients by applying obsession with what clients care about and need, ensuring our Microsoft Advertising story is valued and understood, and building and maintaining soid trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency. You will drive both revenue and client satisfaction across MSA’s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving solid coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.

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
  • You will plan with Purpose Through Client Planning as you will partner with the teams, including AEs, Specialist team to develop and execute MSA account plan, leveraging winning sales strategies replicated across clients and client types.​ 
  • You will learn about the client’s business drivers, compelling events, seasonality of business to identify opportunities to optimize consumption and partner with the Account Executive in development of sales plans for the client. Goals focus on Search and incubation product growth, as well as cross Microsoft opportunities and share accountability with the Account Executive and the team.
  • You will influence existing Digital Marketing Managers and Directors, Digital Buying Groups and always leads with insights and data and tailor content and messages about ways to grow and optimize campaigns to increase business results as you influence Stakeholders and Decision Makers by sharing data insights and product demonstrations, bring to life how MSA can increase business results.
  • You will optimize the existing book of client business to achieve sales targets and deliver excellent sales hygiene, consistently execute against pipeline, opportunity management, and revenue goals. Uses a solution selling mindset to identify across Microsoft opportunities that deliver end-to-end beneficial client outcomes as well as bring the best resources to overcome blockers and ensure success.
  • You will support the Account Executive in building a negotiation plan to ensure smooth closing and timely renewal of contracts.
  • You will maintain a positive approach during difficult objections & negotiations and ​demonstrate expertise in MSA’s features and incentives, including incubations products. Able to upsell and increase consumption of existing products, identify winning sales strategies, package them for efficiency and replicate them across similar client types.


Qualifications

Required Qualifications:

  • Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR Bachelor’s Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR equivalent experience.


Preferred Qualifications:

  • Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR Bachelor’s Degree in Sales, Marketing, or related field AND 5+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR 8+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR equivalent experience.

#MicrosoftAI #MicrosoftAdvertising



Advertising Client Success IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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.