Description
The Microsoft AI Web Data team is looking for a highly qualified Principal Applied Scientist to help build the next-generation platform for Bing and Microsoft AI. The Microsoft AI Web Data Platform (WDP) team builds the data foundation that powers Bing and Microsoft AI experiences, including large-scale grounding and large language model (LLM) training. We operate end-to-end systems that discover, fetch, process, understand and store web content at internet scale. We advance the platform’s capabilities with state-of-the-art modeling and fueling critical Microsoft experiences and pushing the frontier of AI. This is a great opportunity for someone who enjoys tackling deep technical challenges and driving industry-wide impact. In this role, you will translate research into production by advancing the state of the art and applying it to meet today’s AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy. Join us to shape the future of AI and deliver meaningful value to millions of users.
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: Develop deep expertise across a broad research area and relevant techniques; stay current on industry trends and advances; and apply these insights to shape product and platform direction. Partner with stakeholders to understand business and product requirements; incorporate research insights; and provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact. Mentor and inspire peers and new research talent; build relationships and advocate for research initiatives; share results through industry outreach; collaborate with academia; and strengthen the recruiting pipeline. Document experiments and outcomes; communicate learnings to accelerate innovation; and help define best practices, including ethics and privacy considerations for research processes and data collection. Guide and mentor junior team members in developing new technologies that translate into production-ready solutions. Work closely with partner teams across Microsoft AI to understand shared needs and build a technical roadmap to address them.