Applied Scientist II

Redmond, Washington, United States

Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly competitive market sound exciting to you? If so, this Applied Scientist II role with the Microsoft Turing team may be a great fit for you! 

The Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core Copilot experiences across Microsoft’s ecosystem including Bing Chat, Office and Windows. 


In addition, the team also works on improving experiences across Microsoft’s products and services by working on high value scenarios. The Turing team has shipped capabilities across many Microsoft scenarios including Autosuggest, Microsoft Word’s new find feature, quick reply on Outlook, Smart Compose features in Word, image enhancement models, recommendations, enterprise search capabilities for Microsoft Sharepoint as well as many other features across Office, Bing, and Xbox.  


These new experiences are powered by a large-scale deep learning-based enterprise search and question-answering systems built by the team, which processes billions-to-trillions of data items and serves millions of end users in millisecond latency. 

 

If you share our passion for building innovative products and utilizing the power of machine learning in large-scale real-world situations for the benefit of our customers, we would love to consider your application. 

 

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. 

 

 

Read more about our team’s work here: https://turing.microsoft.com 

#webxt# #msturingjobs# #SATIWARY#

Responsibilities

As an Applied Scientist II on our team, you'll be responsible for and will engage in:  

Driving projects from design through implementation, experimentation and finally shipping to our users.  

 

Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products that have the potential to transform billions of people’s lives. 

 

Design and develop fundamental technologies and drive the applied research to enable better search experiences for consumers and enterprise alike. 

Working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. 

 

Embody our Culture  &  Values 

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
  • 2+ years of industrial experience coding in (but not limited to) C++, C#, C, Java or Python 

 

Preferred Qualificiations:

  • A Bachelor’s/Master’s/Ph.D degree in Computer Science, Electrical Engineering or other related technical areas (including mathematics and physics) 
  • 2+ years experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). 
  • 2+ years of experience with common machine learning, deep learning frameworks like Pytorch/Tensorflow 
  • These are other experiences and preferred qualifications that may help a person succeed in this role
  • Ability to communicate technical details clearly across organizational boundaries.  
  • Ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation) 
  • Experience with shipping internet scale, low latency and high throughput systems AI products 
  • Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes 
  • Customer/End-result/Metrics driven in design and development. 
  • Keen ability and motivation to learn, enter new domains, and manage through ambiguity 
  • Publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.

 

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 April 28, 2024. 

 

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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Tags: Computer Science Copilot Deep Learning Econometrics EMNLP Engineering Industrial Java LLMs Machine Learning Mathematics NLP Physics Python PyTorch Research Security SharePoint Statistics TensorFlow

Perks/benefits: Career development Competitive pay Conferences

Region: North America
Country: United States
Job stats:  2  0  0
Category: Data Science Jobs

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