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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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A Bachelor's degree (or equivalent) in Computer Science or a related field. Versatility that spans the entire spectrum of data engineering in one or more of the following areas: In-depth experience with data stores such as Icerberg, Trino, BigQuery, and StarRocks, and Citus.
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Specialists appointed at the junior rank must possess a baccalaureate degree (or equivalent degree) or at least four years of relevant research experience (e.g., with instrumentation and research equipment, social science research methods, or creative activities.
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Engineering the first high-density pixel canvas to display HD content at that scale for the Vornado, Marriott Marquis LED Display in Times Square, NY. Possesses all skills from Senior Install Tech position todrive successful completion, quality control and achieve goals Oversee all on-site activity on the active project job site and address any issues necessary to achieve quality and timeline standards Technologies that need support are Teams Video conferencing systems, recording and or streaming, Control room systems including - Cisco, Ross, Tricaster, QSC, Seervision, LG, Megapixel, Cyviz.
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Our team has the proven engineering expertise to offer technical consulting, in-house prototype fabrication, circuit board and battery pack manufacturing, full-stack product development, and fleet management tools to solve the most complex challenges facing today's clean tech industry.
$250,000 a yearTemporaryExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Expertise in designing and implementing large-scale, distributed software systems, with a strong understanding of system architecture and design patterns.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc.
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Bachelor's degree in a technical field (Computer Science, Information Security, Information Technology, Computer Engineering, or Information Systems). Minimum of 7 years of relevant experience with major enterprise business systems and related technologies.
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Educational Background: Ph. D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field with a strong emphasis on machine learning.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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The candidate should have a strong background in high voltage, pulsed power, power electronics, charged particle/plasma physics and especially in their systems integration. MS/Ph. D. in Electrical Engineering, Plasma Physics, Engineering Physics or similar field.
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Who you areYou will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience.
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Our team brings top researchers in physics-based battery algorithms together with seasoned software engineers to build safety-critical firmware and large-scale machine learning systems.
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Advanced skills in image processing software such as Photoshop, Bridge, and Lightroom. Respond to requests for image searches using the in-house archiving system; curate collections of high-resolution imagery for key departments to access.
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Perform bioinformatics analyses and apply machine learning techniques, and deep learning on high dimensional biomarker data. Thorough skills associated with statistical analysis and systems programming.
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machine learning computer science image processing engineering systems jobs Company: Dolby Laboratories Inc in San Francisco, CA
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