Microsoft
Principal Applied Scientist
Microsoft, Mountain View, California, us, 94039
We are looking for a
Principal Applied Scientist
in
Redmond, WA
or
Mountain View, CA , with a background in Machine Learning(ML), Generative AI (Artificial Intelligence), Data Science, Data Mining, or related fields.
Candidates should have a keen interest in artificial intelligence and optimization at the web scale.
They will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually improve our KPIs.
The Search and AI organization includes the product, engineering, and science teams working towards making Microsoft’s Bing search engine globally state of the art.
Our mission is to delight users everywhere with the best search experience. We are focused on creating competitive and differentiated search quality experiences, which we do by applying highly advanced ML technologies such as large-scale deep learning models and by investing in more modern search experiences.
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.
Our Culture:
Microsoft Culture
Some work from our team:
Introducing Bing generative search | Bing Search Blog
Microsoft unveils Bing Generative Search — enhanced with AI, it's a complete overhaul of traditional search | Windows Central
Responsibilities
Building and owning production machine learning models to improve results
Working hands on with state of art generative models like GPT, Llama, Mistral, and others, to deliver big impact
Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL
Taking complex problems and the associated data and giving the answers in a concise form to assist executives in making key business decisions
Other
Embody our Culture & Values
Qualifications
Required Qualifications:
Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
OR equivalent experience.
8+ years related experience in Natural Language Processing or Machine Learning technologies
Additional or Preferred Qualifications
Doctorate (PhD) in Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
Practical experience with Large Language Models (LLMs) is highly preferred.
Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers) in Machine learning conferences (e.g. ICML-International Conference of ML, NeurIPS-Neural Information and Processing Systems, ICLR-International Conference on Learning Representations)
Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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
Microsoft will accept applications for the role until December 2, 2024.
#Search#MAI #BING #ML# #NLP#GenAI
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
#J-18808-Ljbffr
Principal Applied Scientist
in
Redmond, WA
or
Mountain View, CA , with a background in Machine Learning(ML), Generative AI (Artificial Intelligence), Data Science, Data Mining, or related fields.
Candidates should have a keen interest in artificial intelligence and optimization at the web scale.
They will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually improve our KPIs.
The Search and AI organization includes the product, engineering, and science teams working towards making Microsoft’s Bing search engine globally state of the art.
Our mission is to delight users everywhere with the best search experience. We are focused on creating competitive and differentiated search quality experiences, which we do by applying highly advanced ML technologies such as large-scale deep learning models and by investing in more modern search experiences.
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.
Our Culture:
Microsoft Culture
Some work from our team:
Introducing Bing generative search | Bing Search Blog
Microsoft unveils Bing Generative Search — enhanced with AI, it's a complete overhaul of traditional search | Windows Central
Responsibilities
Building and owning production machine learning models to improve results
Working hands on with state of art generative models like GPT, Llama, Mistral, and others, to deliver big impact
Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL
Taking complex problems and the associated data and giving the answers in a concise form to assist executives in making key business decisions
Other
Embody our Culture & Values
Qualifications
Required Qualifications:
Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
OR equivalent experience.
8+ years related experience in Natural Language Processing or Machine Learning technologies
Additional or Preferred Qualifications
Doctorate (PhD) in Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
Practical experience with Large Language Models (LLMs) is highly preferred.
Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers) in Machine learning conferences (e.g. ICML-International Conference of ML, NeurIPS-Neural Information and Processing Systems, ICLR-International Conference on Learning Representations)
Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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
Microsoft will accept applications for the role until December 2, 2024.
#Search#MAI #BING #ML# #NLP#GenAI
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
#J-18808-Ljbffr