Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models, the Microsoft Graph, and the web to drive unparalleled creativity and transform productivity in the enterprise. As a Principal Applied Scientist you will design and develop LLMs (Large Language Model) and underlying subsystems to tailor to various product scenarios.
Requirements
- 3+ years’ experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.
- 3+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping.
- 5+ years experience conducting research as part of a research program (in academic or industry settings).
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
Responsibilities
- design and develop LLMs (Large Language Model) and underlying subsystems to tailor to various product scenarios
- alignments with senior stakeholders
- working together to building models
- coming up, with ways to build custom LLMs and architecture for specific product needs (especially GenAI)
- ensure scientific rigor, support the development of methods, and apply your expertise to support business impact
- Design system architecture that meets security, compliance, and scalability requirements
- Lead implementation and deployment of solutions, ensuring they meet quality standards
Other
- 3 days / week in-office
- Travel 0-25%
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
