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You have experience in one or more of the following : - recommender systems, predictive modeling, reinforcement learning (e.g., multi-armed bandits), personalized search, computational optimization, natural language processing, deep learning, causal inference especially as applied to e-commerce/marketplaces/email marketing.
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This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Research experience in machine learning, deep learning, and/or natural language processing. Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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As a prerequisite for your work, you have proven knowledge of geometry/texture processing, image/video enhancement and restoration, computer graphics, and deep learning. You have extensive experience in developing architectures, low-level computer vision tasks, geometry/texture representation, and processing, pose estimation and deformation, and dynamic 3D object modeling/representation/processing algorithms with deep learning to improve the performance of computer vision tasks.
$129,700 - $158,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President in the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks.
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Bachelor’s degree AND minimum 6 months experience using one or more of the following: natural language processing (NLP), artificial intelligence techniques, or machine learning in an academic setting (project/internship/lab.
$63,200 - $169,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.
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Demonstrated experience in leveraging AI and machine learning techniques to enhance Customer service operations/Consumer Journey, such as predictive analytics for forecasting Customer needs, natural language processing for chatbot implementation, and sentiment analysis for Customer feedback interpretation.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
$126,984 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
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machine learning natural language processing deep engineer jobs Company: Pnc
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