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Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVies R&D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
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Key word search: Python, Master's degree, predictive maintenance, preventative maintenance, relocation package, data science. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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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.
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RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. On the TikTok Search Team, 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.
$288,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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.
$231,000 - $339,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Deep familiarity with one or more of the following areas at scale: Lucene-based search systems (ElasticSearch or Solr), search ranking and retrieval, data science, or information taxonomy.
$127,000 - $165,000 a yearExpandApply NowActive JobUpdated Yesterday - 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-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. 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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In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems. Our team researches new machine learning algorithms, models and techniques that will power amazing search experiences across Apple products.
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Staff Software Engineer, Machine Learning, Search. Our products need to handle information at massive scale, and extend well beyond web search. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hydroinformatics - Motivated by the expansion of data acquisition systems and the need for managing and using massive datasets, this position requires specialization in information systems and technology for water management, engineering, and operations, with expertise in extreme data management, analytics, data mining, large dataset access, remote sensing, artificial intelligence, machine learning, water systems modeling, and geographic information systems.
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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 Today - UpvoteDownvoteShare Job
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IT, M2M, Cyber Security, Internet of Things (IoT), Mobile to Mobile (M2M), Mobile/ Online Payments, Recruitment, Executive Search, Artificial Intelligence, Software Development, Data Science, DevOps Engineers, Commercial Services , Sales & Marketing, Sales Engineering, machine learning, natural language processing, information security, and engineering.
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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