Senior Applied Scientist

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 Senior 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 

• Has shipped machine learning based products and features 
• Experienced working across multiple disciplines to deliver innovation. 
• Confidently helps make and communicate design tradeoffs to lay out a path for achieving a vision. 
• 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. 

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

• 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. 
• 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. 

Qualifications

Required 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 2+ years related experience (e.g., statistics, predictive analytics, research) 
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) 
  • OR equivalent experience. 
• 2+ years of experience working on Machine Learning models specifically with Natural language-based models, Large Language Models (LLMs), Vector Databases (DBs)/ Retrieval Augmented Generation (RAG). 

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass t