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We are looking for a Machine Learning Engineer II in Search Ranking team to understand buyer shopping missions, personalize content, and rank the most relevant search results to our buyers on search pages.
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If you are passionate about machine learning and are keen to make a significant impact, we would be delighted to welcome you to our team as we embark on an exhilarating journey together.
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Break down open-ended search relevance problems into engineering strategies by utilizing machine learning, data analysis, and experimentation design. We are looking for a highly-skilled and experienced machine learning engineer to join the Search team to lead our search quality efforts through their early ML phase (and beyond.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The team's work is essential in supporting feature developments that use artificial intelligence and machine learning including Bloomberg Law's Docket Key, Points of Law, Brief Analyzer and Draft Analyzer, Bloomberg Tax's search capabilities and Bloomberg Government's State Bill Comparison.
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This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, reinforcement learning, query understanding, vector search (kNN) and image recognition to deliver significant impact for the business.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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This position will be a part of the Enterprise Search team with a focus on architecting, developing, and optimizing relevancy initiatives on Enterprise Search for the company web/cognitive chatbot platform which includes internal websites search, app search, data sources search & Microsoft products search.
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
$293,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Provide Search Engine Optimization (SEO), data modeling, integration best practices and optimization guidance throughout engagements to drive customer return on investment. A Platform Consultant is a Yext product specialist and is responsible for providing platform configuration and data management services to Yext's customers.
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AWS Development: Design, develop, and maintain cloud-based applications and infrastructure using AWS services, including DynamoDB for NoSQL data storage, S3 for object storage, SageMaker for machine learning, Lambda for serverless functions, API Gateway for building APIs, and Kendra for intelligent search.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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