Senior Applied Data Scientist
 Microsoft | |
remote work
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 United States, Washington, Redmond | |
 Jan 22, 2025 | |
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OverviewAre you passionate about leveraging cutting-edge AI technologies to solve complex, real-world challenges? Join the Bing Places Conflation team, where we build innovative solutions to improve search relevance, enhance user experiences, and enable businesses to thrive. As a Senior Applied Data Scientist, you will use Large Language Models (LLMs), Small Language Models (SLMs), and Retrieval-Augmented Generation (RAG) models to create modern, scalable, and efficient systems. You'll collaborate with a dynamic, research-driven team that values curiosity, creativity, and a growth mindset. In this role, you will design and implement advanced AI solutions, staying at the forefront of the latest research in machine learning and natural language processing. You'll have the opportunity to accelerate your career by working with industry leaders, refining your expertise in applied sciences, and contributing to impactful, customer-centric projects. Our team supports flexible work arrangements, with options for hybrid or remote work, so you can achieve the work-life balance you deserve. 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.
ResponsibilitiesDevelop and deploy solutions leveraging LLMs, SLMs, and RAG models to solve complex data conflation challenges and enhance the Bing Places platform.Stay informed about the latest advancements in AI/ML research, evaluate their applicability, and integrate them into scalable systems.Collaborate across multidisciplinary teams, including engineers, data scientists, and product managers, to translate research insights into actionable solutions.Create robust pipelines for data processing, training, and inferencing to optimize model performance and scalability.Mentor team members, foster knowledge sharing, and support recruiting efforts to build a world-class research team.Uphold ethical principles in AI, ensuring solutions are fair, unbiased, and aligned with Microsoft's privacy standards. | |