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Our core charter revolves around building state-of-art machine-learning (ML) and natural-language-processing (NLP) methodologies to improve the search indexing & ranking mechanisms, which will directly improve the customer experience.
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Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching and ranking problems, including filtering, new content indexing, and apply document understanding.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum QualificationsStrong coding skillsExperience with ML Modeling and toolsStrong background in computer science: algorithms and data structuresPreferred QualificationsExperience with large scale data processing, map reduce applications.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Search Indexing, Elasticsearch. We are looking for passionate backend software experts to build large scale data processing systems that power our Ads business. Contribute to the design and development of our next-generation data processing platform that can support our rapidly growing Ads business for the years to come.
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Contribute to the development of the search platform, a cutting-edge technology delivering indexing and search experiences across Microsoft Office 365. Ensure the platform adheres to Microsoft’s strict data privacy and compliance standards.
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Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, indexing, ranking, query understanding, and distributed data processing. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints.
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THIS ROLE WILL HAVE THE FOLLOWING RESPONSIBILITIES: - Analyzing search ranking and relevance requirements issues and opportunities - Utilizing PyTorch and proprietary tools for training deep learning models - Understanding product requirements then translating them into modeling tasks and engineering tasks - Building machine-learned models for query understanding and search ranking - Develop and maintain large scale indexing and ML data pipelines.
$131,500 - $243,300 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrating experience with API or rest service integrations, advanced SQL (common table expressions, use of temp tables, indexing), and other technical methods to extract and combine data from various sources.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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In this role, the Senior Front-End Software Engineer will leverage new and existing technologies to build and maintain browser-based web applications that drive intuitive, efficient user experiencesPRIMARY RESPONSIBILITIES- Design and develop proprietary solutions for the Equity Direct Indexing portfolio management teams- Provide technical leadership to other Software Engineers.
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Azure Storage Indexing engine runs on hundreds of thousands of servers, indexing data at exabyte scale while serving hundreds of millions of requests per seconds at low latency. We are one of the foundational services in the Azure Cloud and host data from some of the largest companies in the world plus all of Microsoft’s largest online businesses including Xbox, Teams, and Bing. Azure Cloud has one of the highest number of data centers amongst all the cloud providers.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems. Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
$62,000 - $72,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Develop and document business requirements for search engine enhancements, including indexing, ranking, scoring, and user interface changes. Proficiency with data analysis and visualization tools such as Excel, Tableau, or Power BI.
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Knowledge of query optimization, indexing, and machine learning techniques for search relevance. The Business Analyst will work closely with product managers, engineers, data scientists, and other stakeholders to ensure the effectiveness of our search engine relevance and optimization efforts.
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As an Application Support Engineer I you will find yourself troubleshooting in-house applications, 3rd party applications, data mining, report building, writing and working with complex queries, database management, indexing, and potentially promoting a software fix.
$60,000 - $65,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Strong analytical skills and the ability to interpret complex data sets. Experience with search engine platforms like Apache Solr, Elasticsearch, or Algolia. Conduct user research and usability testing to gather feedback on search engine performance.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago
data indexing jobs in Bellevue, WA
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