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Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. You'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system.
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An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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You will be responsible for building and maintaining search models which serve the entire non-US traffic on Etsy, while applying state of the art, large scale machine learning algorithms to improve them.
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems.
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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. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred.
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This role will have the opportunity to initiate and lead exciting projects to further the state of language understanding at Apple, and use data science, machine learning and analytical skills to solve challenging technical problems and ship novel products that will delight millions of people.
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Experience in a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning and search technologies. Theoretical and practical experience with modern machine learning algorithms and tools, including deep learning and NLP.
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Experience in building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search, etc. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
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Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc. Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing.
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4+ years experience in enterprise-scale technical design, delivery, or consulting on Azure AI services, Generative AI, NLP, Computer Vision, Search, Deep Learning, Azure Machine Learning, MLOps, Open-Source AI frameworks, AI infrastructure, architecture design, or related technologies.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving. - Technical leadership in large-scale machine learning, deep learning, and large language models for recommendation systems.
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They're looking for a Senior Machine Learning Engineer to build large-scale language models and drive feature development. Are you passionate about large-scale NLP and search.
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Whether you join our Statistics, Optimization, Advanced Algorithms or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Search, Personalization, GenAI, Marketing, Supply Chain Optimization, Network Security rely on.
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Experience working in fields like recommendation systems, natural language processing, applied machine learning, large scale production search/ranking system, large data pipelines and/ or other related systems.
Full-timeRemoteExpandApply NowActive JobUpdated 7 days ago
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