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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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Develop and implement novel AI machine learning algorithms in the area of Large Language Models (LLMs) and/or Computer Vision models to provide automation of clinical tasks using one or more of data domains (e.g. medical images, electronic medical records, clinical reports, etc.
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Master's degree and 5+ in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or related field.
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PhD or equivalent experience in Applied Mathematics, Audio Engineering and Signal Processing, Acoustics, Electrical Engineering, Computer Science, or a related field.
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MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience. You are encouraged to work across people and project boundaries, and among computer vision, computer graphics, and machine learning approaches.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The department offers BS and MS programs in Computer Science, a joint program with the Department of Mathematics in Data Science, and a PhD program in Engineering & Applied Science (EAS) with a Computer Science and Information Science (CSIS) option.
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Proactively engage in both internal and external learning opportunities across data engineering, machine learning, and AI. Use those learnings to influence infrastructure/cloud, data engineering, and data science practices across the organization.
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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.
$144,600 - $176,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning. Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent understanding of the mathematical foundations of machine learning and deep learning. The candidate is required to have hands-on experience and deep knowledge in machine learning.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
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There is an abundance of challenging work here from major corporate clients, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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machine learning computer science engineering and inclusion jobs Title: engineering in Anoka, Minnesota
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