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We are looking for a Senior Applied Scientistwith Research and Development (R&D) background to conduct R&D on intelligent search advertising systems to mine and learn actionable insights from large scale data and signals we collect from user queries and online activities, advertiser created campaigns and their performances, and myriad responses from the parties touched by the system in Bing ads paid search ecosystem.
$229,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Data Wrangler you will join a team serving as the primary liaison with international research laboratories facilitating the acquisition of the high-throughput data produced by the consortium labs and responsible for data modeling and curation.
$164,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Data Wrangler you will join a team serving as the primary liaison with international research laboratories facilitating the acquisition of the high-throughput data produced by the consortium labs and responsible for data modeling and curation.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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As an Applied Scientist on the CPP team, you will be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Have the opportunities to use cutting edge ML technologies including GPU, LLMs, vector search and data processing systems to empower 100x bigger models in next 3 years. Hands-on experience with at least one modeling framework (Pytorch or Tensorflow.
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The position also involves developing a keen understanding of the ad network behavior; detecting meaningful data patterns useful for user engagement modeling; assuring the integrity and breadth of the data; measuring user, campaign and app performance; and finally analyzing the results of extremely large-scale experiments.
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Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. Experience with data modeling, warehousing and building ETL pipelines.
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Experience collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis. information from disparate sources, statistical modeling, data mining and.
$91.31 an hourFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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Have a broad and deep understanding of key technology areas including information retrieval, deep learning, large language modeling, data processing, real-time serving. This role will involve working closely with Search senior leadership (VP, Sr. Directors) and will offer the autonomy to identify and solve key Search problems and explore innovations in various areas like deep learning and large language modeling.
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