New 
Senior Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 May 10, 2025 | |
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OverviewImagine shaping the future of search-where powerful Large Language Models (LLMs) and Small Language Models (SLMs) transform how billions of people find and interact with information. Join us at Bing as we redefine what's possible. You'll be part of a forward-thinking team that blends cutting-edge AI research with real-world applications, leveraging large language models and small language models to enhance relevance, efficiency, and user experience. Working alongside talented engineers and scientists, you'll drive innovation that makes #Bing smarter, faster, and more intuitive-empowering users to access knowledge effortlessly. As an Senior Applied Scientist in our team, you will leverage cutting-edge AI techniques to refine and advance Bing's search experience. You'll work closely with data scientists and engineers to develop models that enhance relevance, efficiency, and personalization, ensuring users receive the most accurate and meaningful results. Your expertise will help shape the future of search by integrating LLMs and SLMs into large-scale applications. This opportunity will allow you to accelerate your career growth by working on industry-leading AI projects, develop deep technical expertise in applied machine learning and optimization, and contribute to groundbreaking innovations that impact billions of users worldwide. We offer flexible work arrangements, allowing you to work remotely part of the time while collaborating in our offices for key meetings and innovation sessions. 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.
ResponsibilitiesDesign, develop, and implement machine learning models to solve complex business problems.Conduct applied research to improve existing algorithms and develop new methodologies.Collaborate with engineers, product managers, and other scientists to integrate AI solutions into production systems.Analyze large-scale datasets to extract meaningful insights and optimize model performance.Stay up-to-date with the latest advancements in AI, deep learning, and statistical modeling.Present findings and recommendations to stakeholders and leadership teams.Mentor scientists and contribute to the growth of the team.Other: Embody our Culture and Values | |