Principal Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Feb 24, 2025 | |
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OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and sky is the limit thinking in a cloud-enabled world.TheArtificial Intelligence (AI) Core Platform and Tools organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure's innovation and differentiation, as well as all of Microsoft's flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largestAIworkloads on the planet.We are looking to hire a Principal Applied Scientist to join our team.WithinAICore Platform and Tools, the AI Platform team empowers developers and data scientists around the world and of all skill levels to easily addAIcapabilities to their apps. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 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.
ResponsibilitiesYou will be a technical leader, working closely with other leaders, colleagues, and customers from various business domains to drive ResponsibleAIproduct innovation.Drive innovations in AI Safety models and algorithms, keeping engineering resource consumption in mind.Lead and participate in design,implementation,and executionacross a variety of features including analyzing Machine Learning/Deep Learning (ML/DL) models and creating actionable, data-driven insights.Analyze complex, high-volume, high-dimensionality data.Collaborate with a team of world-class scientists and engineers to solve very challenging problems.Invest in others' growth.This role requires a deep understanding of generativeAIuse cases and responsible AI, a keen sense of model development to support responsibleAIcommitments while keeping product innovation in mind, and a technical background to develop responsibleAImeasurement and mitigation techniques.Embody our culture and values | |