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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Work with the perception team to design, develop, and deploy computer vision and machine learning components for robotics on integrated hardware (like Nvidia Jetson and Intel Myriad.
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You are an individual with a deep understanding of computational genomics, bioinformatics, machine learning, statistics, next-generation sequencing, and single-cell multi-omics. Ph. D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field, with 5+ years of industry/academia experience.
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The Chan Zuckerberg Imaging Institute is seeking an experienced AI/Machine Learning Engineer to support the New Algorithms for Cryo ET Team Leader to create innovative algorithms that addressspecific challenges in computer vision, generating meaningful and high-quality data representations that facilitate downstream tasks.
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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
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Proficient with ML frameworks such as Tensorflow, Keras, JAX.Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
$105,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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For technical backgrounds, preference for electrical engineering, computer science, mechanical engineering, or closely related field. Similar Jobs: VP Data Science. The candidate should have a strong technical or scientific background.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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BA/BS degree or higher in Computer Science, Engineering, or a similar technical field. Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX.
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You would work with our machine learning engineers to support running and porting models to various embedded devices and smartphones, and optimizing C. Image processing, graphics & ML / Computer Vision algorithms , e.g.: Stereo Depth estimation, Guided/Bilateral filtering, feature matching, style transfer, iterative algorithms, BLAS; Libraries such as OpenCV; ISP (demosaic, denoise, HDR etc.
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Machine Learning Data Engineer (Remote - US) Bachelors or Masters degree in Computer Science or Data Science. Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines.
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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
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machine learning technical lead computer science jobs Company: Jpmorgan Chase Co in Palo Alto, CA
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