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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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A master or Ph. D. is highly preferred 5+ years of industrial experience (relevant research experience for master/Ph. D. may be counted as industrial experience) Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge in machine learning, deep learning, NLP, and Computer Vision. We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications.
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Familiarity with at least one machine learning / deep learning framework (e.g., tensorflow, pytorch). The LINC project brings together a multi-disciplinary group of experts from 8 institutions (Brigham and Women’s Hospital, Columbia University, Harvard University, Massachusetts General Hospital, Massachusetts Institute of Technology, University College London, University of Rochester, Weill Cornell Medicine) to develop novel imaging technologies and combine them with machine learning to produce detailed wiring diagrams of the brain.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with modern deep learning architectures including CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning.
$150ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
$250ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit.
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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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Design comprehensive training programs for volunteers working with children and families experiencing homelessness with a focus on early childhood development, social emotional learning, trauma and resiliency.
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You are familiar with applied data science methods, feature engineering and machine learning algorithms. We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments.
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Strong technical credentials in NLP, machine learning and deep learning including a track record of publications in relevant conferences and high impact journals. Data Scientist III (LLM Researcher.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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Deep Learning Research : Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
$145,800 - $235,950 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Broad understanding of methods and tooling, fromtraditional (FastCV)to deep learning approaches(i.e. PyTorch,Jax,Tensorflow)and their deployment to embedded systems(Android, C. Optimize machine learning model implementations and inference timesWork withTFLite, SNPE, or other embedded deep learning libraries Quantize and tune model architecture, speed, and performance whilemaintainingtask performance Participate in rigorous benchmarking and analysis across model classes Deploy to mobile hardware running Android.
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deep learning jobs Title: applied scientist Company: Amazon in Boston, Maumelle, Arkansas
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