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Lead the technical direction for search / recommendation query services, search indexing, data mining, Search algorithms, Visual Search & deep learning in the context of the next generation Search & Discovery platform for Adobe.
$118,500 - $219,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
$170,700 - $300,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM. 2+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.
$136,800 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
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We develop cutting-edge AI technologies with a wide range of technologies such as deep learning, generative AI, large language models, recommender systems, ranking, search, advertising, auction theory and much more in our solutions, and support many areas of member and customer success within LinkedIn including Jobs-You-May-Be-Interested-In (JYMBII), Job Search, Jobs Notifications, LinkedIn Coach, etc.
$207,000 - $340,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, model, validate and test algorithms by applying Machine Learning and Natural Language Processing techniques against various real-world datasets including behavioral data. Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
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Our team develops the XLA TPU compiler used to partition, optimize, and run large machine learning models across multiple TPU devices for internal customers (e.g., Gemini, Ads, Search), and external Google Cloud customers.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Embracing an Open Solutions ecosystem, ACS empowers customers, software partners, and research institutes to create and implement machine learning-driven analytics solutions on our Real-time Data Platform.
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Develop infrastructure and microservices that index, mine, transform, and compose PB sized deep learning datasets. Experience with search and vector database systems as well as experience with Kubernetes and Docker.
$148,000 - $276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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ML data management (collect, store, manage data), creating training datasets (data labeling, feature engineering, data partitioning, sampling and slicing), building and training machine learning infrastructure, model deployment (inference constraints, model compression, server and client side ML, employment evaluation), ML infrastructure monitoring and maintenance, familiarity with architectural choices for ML systems.
$134,500 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals.
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Responsibilities:Architect the company search product that is at the heart of their service prediction engineUnderstand the clients’ data, identify signals from noise, and build products that harness the intelligence in the signal.
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