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We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities. As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable.
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Senior Data Scientist to lead the development and improvement of cutting-edge machine learning and deep learning models powering Walmart Customer Modeling.
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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Mastery in Python, deep learning frameworks such as Tensorflow, PyTorch, and Keras, machine learning packages such as SciPy and Scikit Learn, and image processing packages such as OpenCV.
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Employ advanced AI and machine learning models, including deep learning and predictive analytics, to identify novel materials and predict their performance within battery systems.
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In this role, the Machine Learning Engineer will work with a variety of data-driven technologies, including traditional and deep learning paradigms. Expert-level experience PyTorch, TensorFlow, or other major deep learning framework.
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We are looking for a person who is innovative, client focused, results driven and passionate about implementing infrastructure for information management and digital strategy.
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Strong in AI: Experience with Python and current AI methods (e.g.: Generative AI, Foundation Models/Large Language Models), Responsible AI, Machine Learning (e.g.: model tuning/training, PyTorch, deep learning, transformers.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) Prior experience with applying machine learning and/or deep learning tools for medical and/or cellular imaging tasks is preferred.
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Proficient in machine learning, deep learning, computer vision, and image process techniques. We are seeking a highly motivated machine learning/AI scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases. Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
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This work involves combining deep learning and data fusion techniques with petabytes of satellite imagery (radar and optical), and billions of GPS positions from vessels, mostly from the Automatic Identification System (AIS) and Vessel Monitoring Systems.
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Deep understanding of and experience with the latest deep learning techniques related to NLP, computer graphics and multi-modal systems. Working with an interdisciplinary team to research and develop deep learning solutions that create and augment meshes and textures in our avatar ecosystem.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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deep learning jobs Title: machine learning scientist Company: Apple
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