Not Authorized
You are currently not authorized to access this section.
Please contact your Administrator to change your authorization settings.
Please contact your Administrator to change your authorization settings.
Senior Applied Scientist
Redmond, WA
Job Description
OverviewMicrosoft Audience Network (MSAN) part of the Web Experiences Team (WebXT) is seeking a Senior Applied Scientist to join us in Redmond, WA. 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. 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. Our Culture: Microsoft Culture
ResponsibilitiesParticipate in design, implementation, and execution across a variety of features regarding data science and machine learningDrive innovations in analytics applications, retrieval, ranking and generic NLP, CV models used in an ads recommender systemsOtherEmbody our Culture and Values
ResponsibilitiesParticipate in design, implementation, and execution across a variety of features regarding data science and machine learningDrive innovations in analytics applications, retrieval, ranking and generic NLP, CV models used in an ads recommender systemsOtherEmbody our Culture and Values
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
Email this Job to Yourself or a Friend