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E, AWS and GCP) Strong verbal and written communication skills Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users Experience with machine learning platform for search & discovery related rankings is a strong plus Pay & Benefits Our compensation reflects the cost of labor across several US geographic markets.
Starting at $142,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Senior Software Engineer - Data Engineering Machine Learning Engineer / Data Scientist Software Engineer - Data Engineering.
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MS/PhD in Computer Science or related discipline with experience in the areas of data mining, information retrieval, machine learning and information extraction. Must be able to lead engineering design, development and testing, as well as work jointly with other team members to develop services and infrastructure at the intersection of machine learning, Big Data, and distributed systems.
$135,200 - $205,700Full-timeExpandUpdated 12 days ago - UpvoteDownvoteShare Job
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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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Bloomreach is seeking a seasoned Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers.
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Working knowledge in one or more of the following: machine learning (ML), data mining, information retrieval, search or statistics. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms.
$156,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our client help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Better understand the risks from biology-related capabilities in search and language model and probe the frontiers of these tools Interact with a new AI chatbot during the research study.
Part-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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If you are passionate about working on the latest and hottest areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science, scale systems, UX, and product growth, this is the team you’re looking for.
$158,500 - $276,600 a yearFull-timeExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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Meta Platforms, Inc. (f/k/a Facebook, Inc.) is hiring Software Engineer (Machine Learning) to Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML.
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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.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiarity with machine learning techniques and natural language processing (NLP). Customize Elasticsearch query and indexing strategies for optimal search performance and accuracy.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We have a huge amount of data from hundreds of millions of users of: ● SoundHound musicapp featuring search, discovery, and play with LiveLyrics ● Hound newlyreleased app featuring unprecedented speech recognition and natural languageunderstanding ● Houndify platformenabling developers to add voice enabled conversational interface toanything We aspire to leverage this data to make informed decisions to steer product development, marketingand user engagement.
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The Infra team at Eightfold is responsible for building, maintaining and enhancing the very core parts of our stack - everything from Search, Databases, Machine Learning Infrastructure, Data Warehouse, Developer Platform, and Application Infrastructure.
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Technical leadership entails influencing search indexing, Search algorithms, recommendation algorithms, relevance & ranking, visual search, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, search UX, and overall Adobe Cloud ecosystem.
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search data machine learning jobs in Cupertino, CA
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