Principal Applied Scientist

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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 own the infrastructure that enables complex orchestration of Copilot workflows to put powerful artificial intelligence (AI) capabilities at the user’s fingertips.

AI is now going through a transformational change with the advent for Large Language models (LLMs), we need an individual who has experience in working with Large Language models, who has designed scalable systems using LLMs. As a Principal Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions. This can range from working together to build fine-tuned models to coming up with ways to build custom LLMs for specific product needs.

We are excited to hear from candidates who are passionate about making a significant impact on how people interact with their computers in the last 30 years, and who are excited about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize productivity and innovation.

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.

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.
• 3+ years of experience working on Machine Learning models specifically with Natural language-based models, vector databases and graph databases.
  
• Demonstrated experience working with Large Language Models and prompt engineering.

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 fine tuning, Open AI or Azure Open AI application programming interfaces (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 $137,600 - $267,000 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 $180,400 - $294,000 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

Microsoft will accept applications for the role until December 31, 2024.

#MicrosoftTeams

• Conduct applied science experiments, create and validate metrics, develop machine learning (ML) pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
• Develop and 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.