Senior Applied Scientist

Microsoft Corporation Senior Applied Scientist Mountain View, California Apply Now

Do you aspire to be part of a dynamic team which delivers groundbreaking products and machine learning solutions across Microsoft to hundreds of millions of users? Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly talented market sound exciting to you? If so, this Senior Applied Scientist role in Redmond, WA within the Microsoft AI -Turing Team 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 the revolutionary conversational search experiences within Microsoft AI. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including Bing Chat, Office, Windows and Edge.

In addition, the team also works onimprovingexperiences acrossMicrosoft’s products and servicesby working on high value scenarios.The Turing team has shipped capabilities across many Microsoft scenarios including Autosuggest,Microsoft Word’s newfind feature,quick reply on Outlook,Smart Compose features in Word,image enhancement models, recommendations, enterprise search capabilities for Microsoft SharePointas well as many other features acrossOffice,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.

Discover more about our team’s work here:
https:
//turing.Microsoft.Com

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.

Responsibilities

As a Senior Applied Scientist 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.

Qualifications

Required/Minimum 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)

2+ years experience with distributed training, writing Compute Unified Device Architecture (CUDA) / Triton kernels or experience training large and small models

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)

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).

2+ years experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc).

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.

Familiarity with common machine learning, deep learning frameworks like Pytorch/Tensorflow

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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 May 7, 2024.

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 (https:
//careers.Microsoft.Com/v2/global/en/accessibility.Html) .

#J-18808-Ljbffr