Senior Applied AI Engineer

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 proposition. We are reinventing the way people communicate and work together across the globe.   

We are seeking a Senior Applied AI Engineer 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 artificial intelligence (AI) products.  

In this role, you will

• Collaborate and work across multiple disciplines to deliver innovation. 
• Communicate priorities and tradeoffs to lay out a path for achieving a vision. 
• 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; 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 machine learning (ML) pipeline and modeling algorithm in the area of Large Language Models (LLM), Natural Language Processing (NLP), 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.