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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science, or related field. Minimum QualificationsExperience in machine learning, deep learning/LLM, information retrieval, natural language processing.
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PhD in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent) Master’s degree in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent.
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Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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An advanced degree (PhD preferred) in machine learning, computer science, or another quantitative discipline is required. Expedia is seeking a Director of Machine Learning Science (MLS) to lead our team of scientists dedicated to our travel insurance business.
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONS- Ph. D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. In this role, you will work with the Roadmapping and Integrated Photonics team within IonQ's R&D Division to explore technology and architecture aimed at enabling future and more powerful quantum computer systems.
$174,192 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Our company spans a diverse range of innovative areas including natural language processing, machine learning, psychotherapy research, clinical assessment and behavioral coding, implementation science, project management, software development, UI design, community-based research, and small business development.
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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Bachelor’s Degree in Information Systems, Computer Science, Computer Engineering, or Information Security and at least two years of experience as a Network Engineer, Network Administrator or System Administrator.
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Majors represented are mainly: Mechanical Engineering, Aerospace Engineering, Reliability, Physics, Computer Science, Manufacturing, and Robotics. Majors represented are mainly: Space Systems Engineering, Physics, Material Engineering, Environmental Engineering, Electrical Engineering, Computer Science, and Computer Engineering.
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Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use cases.
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Mentor junior team members Basic Qualifications Master in Computer Science/Engineering or equivalent industry experience with a focus on computer graphics and real-time rendering.
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IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. Measure and analyze data on the performance of a trapped ion quantum computer. PhD in Atomic, Molecular, and Optical (AMO) physics with expertise in quantum computing with trapped ions or neutral atoms.
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You will also have the opportunity to work with atomic physicists to innovate the trapped-ion quantum computer utilizing integrated photonics. In this role, you will focus primarily on developing and utilizing software and techniques for the design, simulation, and optimization of photonic integrated circuits (PICs) for use in trapped-ion quantum computer systems.
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computer science machine learning jobs Company: Boeing in Bellevue, WA
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