Job Information
Microsoft Corporation Principal Applied Scientist in Redmond, Washington
Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe.
We are seeking a Principal Applied Scientist for the Microsoft Teams Calling, Meeting & Devices group. This person will collaborate with a multi-functional group to deliver next generation innovations and experiences leveraging, fine tuning and prompt engineering foundation models. Partner with product and engineering teams to invent and deliver on the future for Microsoft CoPilot and other generative AI products.
This role can be based out of any of Microsoft offices in the US, with flexibility for in-office or work from home schedules.
You are someone who
Seasoned collaborator working across multiple disciplines to deliver innovation.
Helps make and communicate priorities and tradeoffs to lay out a path for achieving a vision
Can inspire without authority across teams and motivate individuals to work together towards common goals
Thrives in a bit of chaos then creates the structure needed to execute smoothly at scale
Our culture is inclusive, customer-driven, and high energy; our team members come from diverse backgrounds, are passionate and loyal to coworkers and our products, and grounded in our customer and business needs. Our team has a sense of artisanship and accountability and provides its members many opportunities for learning and career growth.
Responsibilities
Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
Developand deploy conversational and language understanding models at scale.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Embody our culture and values
Qualifications
Required Qualifications
Bachelor'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 Master'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 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.
Preferred Qualifications
PHD. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent.
9+ years of experience in machine learning
5+ years using ML tools like Pytorch and TensorFlow
Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs.
System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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
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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) .
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