New 
Senior Applied Scientist-Ads
 Microsoft | |
 United States, Nevada, Reno | |
| 6840 Sierra Center Parkway (Show on map) | |
 Oct 05, 2024 | |
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OverviewMicrosoft Audience Network (MSAN) part of the Microsoft AI (Artificial Intelligence) is seeking a Senior Applied Scientist-Ads. This role is available in Redmond, WA or Mountain View, CA. This is an exceptional opportunity to apply your advanced skills in one of the fastest-growing businesses, to solve real-world problems on a scale. Our goal at MSAN is to maximize value for users and advertisers through our platform. As the Senior Applied Scientist, you will specialize in creating and enhancing machine learning technologies in areas such as Natural Language Processing (NLP) , Computer Vision(CV), and large language models(LLM). You will be a key player within a dynamic team, contributing to and collaborating with other talented colleagues on cutting-edge machine learning challenges from a real ads recommender system. In this role you will have the opportunity to solve for problems related to Ads selection and Ads ranking.Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising. The exponential growth of online advertising offers immense opportunities. At Microsoft, we are constantly challenging ourselves, infusing curiosity and imagination to reshape the realm of possibilities. We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset. 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.
ResponsibilitiesParticipate in design, implementation, and execution across a variety of features regarding data science and machine learning. Drive innovations in analytics applications, retrieval, ranking and generic Natural Language Processing (NLP), Computer Vision (CV) models used in an ads recommender systems. OtherEmbody our Culture & Values | |