Interested to utilize your data and applied science skills to influence and shape the product that millions of users use worldwide? Do you want to work on the intersection of artificial intelligence, local business, a data platform, and a consumer ecosystem? Do you want to innovate on how users find local places & services and scale that to different surfaces with AI-infused experiences? Then this role is for you, in the Bing Maps & Local team, as we make Microsoft Bing the most AI-centric search offering.This is a unique role that lets you innovate and evolve the consumer search space. We are seeking a Data & Applied Scientist 2 to join the Bing Local team. If you share our passion for building innovative products and utilizing the power of AI and machine learning in large-scale real-world situations for the benefit of our customers, we would love to consider your application. 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.ResponsibilitiesIn this role you will:Drive projects from design through implementation, experimentation, and finally shipping to our users.Work on multi-modal Large Language Models (LLMs) and utilize and fine-tune small language models to scale experiences globally and in multiple languages.Own the development of state-of-the-art machine learning and deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products that have the potential to transform millions of people's lives.Work in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our technology.QualificationsRequired Qualifications:Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND considerable experience in the following (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with industry-related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Considerable industry experience coding in (but not limited to) C++, C#, C, Java, or Python.Preferred Qualifications:A Bachelor's/Master's/PhD in a related field.
#J-18808-Ljbffr
