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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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They are seeking a highly skilled and visionary Staff Deep Learning Scientist to lead and innovate in their deep learning initiatives. Lead the development of foundational models for drug discovery, employing advanced techniques in deep learning, neural networks, and computational biology.
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Extensive experience with deep learning frameworks and libraries (e.g., TensorFlow, PyTorch, JAX). As a key member of the scientific team, this individual will drive the design, implementation, and optimization of state-of-the-art deep learning models tailored to the complexities of drug discovery.
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Demonstrate ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc. Show advanced knowledge of Machine Learning Algorithms/AI techniques including Deep Learning Techniques (RNN, CNN, GAN, etc.
$104,000 - $150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Have 3 or more years of experience applying signal processing, pattern recognition, machine learning, deep learning, or related techniques with respect to information extraction from electromagnetic systems.
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Master’s preferred and +3 yrs work experience or PhD; Bachelor’s degree in computer science, applied mathematics, statistics, machine learning, or a related data centric-technical field OR equivalent experience.
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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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Senior Deep Learning Scientist, Speech Synthesis page is loaded. Knowhow of Deep learning applications to Speech synthesis, LLM, and Speech-to-speech translations and hands-on experience on Speech Technologies like Speech Synthesis, voice cloning, etc.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking a talented and skilled Machine Learning Scientist II to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
$110,500 - $180,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Publications or a demo page to share that highlight a proven track record of exploratory research/work in the field of deep learning. We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities.
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Deep Learning, Red Hat OpenShift, Tensorflow. · 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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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Artificial intelligence, recruitment, machine learning, data science, staffing, ai, community, podcast, Computer Vision, Deep Learning, data engineering, big data, automation, ServiceNow, splunk, digital transformation, executive search, data analytics, cybersecurity, software engineering, software development, and it.
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Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning. In this role, you’ll work with world-scale public and proprietary datasets pertaining to all aspects of global trade, build sophisticated Machine Learning models that generate unique insights for our customers into the risks and opportunities posed by their supply chains, and stay on the cutting edge by incorporating generative AI into supply chain exploration and analytics workflows.
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The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields. Strong background in computer vision, machine learning, and deep learning.
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deep learning remote work jobs Title: applied scientist
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