Researcher - II

M365 Research is an Applied Research team driving medium and long-term product innovations. We closely collaborate with multiple research teams and product groups across the globe who bring a multitude of technical expertise in cloud systems, machine learning, privacy, and software engineering. We communicate our research both internally and externally through academic publications, open-source releases, blog posts, patents, and industry conferences. Further, we also collaborate with academic and industry partners to advance the state of the art and aim for material product impact that will affect 100s of millions of customers.

We are looking for a Researcher with background in generative AI, including domain adaptation, scalable and distributed machine learning, modular AI, privacy, security, and reliability in AI, and related areas. You will be one of the key researchers driving the strategy and execution of our research agenda in a team of 40+ world class researchers. You will help drive cross-organizational execution to deliver strong business and academic impact.

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:

• Master's Degree in relevant field AND 3+ year(s) related-research experience
  • OR equivalent experience.

• Experience participating in a top conference in relevant-research domain.
• Experience publishing academic papers as a lead author or essential contributor.
• Doctorate in relevant field
  • OR equivalent experience.

#M365CORE

• Conduct novel research to advance the state-of-the-art Large Language Model / Generative AI experiences to enable their deployment at scale.
• Work with a small group of fellow research scientists and product engineering teams to execute practical solutions for real-world impact.
• Drive the end-to-end research agenda from establishing the problem definition to building algorithms and models.
• Publish and contribute to top scientific conferences and journals.