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M.S degree in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. Ph. D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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IonQs computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Bachelors degree in Mechatronics, Electrical Engineering, Computer Science, Mathematics, Physics, Statistics, or related field.
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3+ years relevant applied experience in data science, machine learning, computer vision, or NLP (or very strong engineering skills and the ability to learn quickly.
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Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning. 6+ years of professional experience in NLP systems, predictive modeling, recommendations/personalization, clustering, classification, sentiment analysis, time series, and deep learning.
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An Associate of Science (A.S.) or Bachelor of Science (B.S.) degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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BS Computer Science, Cybersecurity, Computer Engineering or related degree; or HS Diploma and 10+ years of host or digital forensics or network forensic experience. Designing cyber security systems and environments in a Linux environment.
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Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics. Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems.
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Requirements: Active US Security Clearance of TS/SCI with Polygraph requiredEducation: Computer Science, Electrical Engineering, or a Related Engineering Discipline. Citrix ZenDesktop, and/or VMware Horizon Large on-premise storage engineering and administration experience with NetApp, Dell/EMC, Pure Storage, etc.
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Ph. D. in Biostatistics, Epidemiology, Statistics, Statistics and Decision Science, Computer Programming and Data Processing, Applied Mathematics, Management Information Systems and Statistics, Mathematics and Computer Science, or a related discipline.
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Our Diversity, Equity and Inclusion (bcuniversal.com/diversity-equity-inclusion) initiatives, coupled with our Corporate Social Responsibility (bcuniversal.com/csr) work, is informed by our employees, audiences, park guests and the communities in which we live.
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Degree(s) in electrical engineering, computer engineering, systems engineering, or related field. SAIC is hiring a Systems Engineer with a strong background in technology development to support the Principal Director, Microelectronics in the Office of the Under Secretary of Defense for Research and Engineering (OUSD(R&E.
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Master’s degree in Computer Science , Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program. Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field (or equivalent experience) preferred. Hands-on development experience in one or more of the following areas: Programming in Python, JavaScript, Golang, or Rust Assembly code programming in VHDL Cloud computing platforms such as GCP, AWS, and Azure REST APIs Machine learning techniques.
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machine learning computer science systems engineering equity inclusion jobs Title: engineering in Bethesda, MD
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