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The individual should hold a degree in electrical engineering or computer science, with a preference for experience in patent prosecution related to electrical engineering, software technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Preferred expertise includes patent prosecution in electrical engineering or software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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The role requires expertise in electrical engineering or computer science, with a preference for additional experience in patent prosecution related to software, data science, AI, networking technologies, and machine learning.
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Hands-on experience in NLP algorithm development, machine learning, and deep learning for text analysis and processing. This role requires expertise in NLP techniques, machine learning, and proficiency in programming languages used in NLP research and development.
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Statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry.
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JD degree and admission to the USPTO.Preferred Experience:Patent prosecution in electrical engineering or software-related technologies. The candidate must hold a degree in electrical engineering or computer science, with a JD degree and admission to the USPTO being mandatory.
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The Senior Data Scientist Anomaly Detection and Intelligence Analytics is responsible the development of statistical processes and machine learning models that improve USAAs ability to detect unusual behaviors and trends that are early indicators of possible fraud attacks, technological outages, or other circumstances that could affect fraud performance or Member experience.
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The candidate should hold a degree in electrical engineering or computer science, with a preference for expertise in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Familiarity with patent prosecution in electrical engineering, software-related technologies, data science/AI, networking technologies, machine learning/artificial intelligence, and hardware security is preferred.
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Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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Duties:Conduct patent prosecution in electrical engineering, software-related technologies, data science/AI, networking technologies (with an emphasis on network security), machine learning/artificial intelligence, and hardware security.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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electrical engineering machine learning development jobs Company: Apple
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