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Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Signal Processing, Machine learning, Computer vision, Electrical Engineering, Applied Math, Acoustics Engineering or a related STEM field.
$11,333 a monthFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Strong understanding of machine learning, deep learning, AI and generative AI principles and algorithms, and familiarity with natural language processing (NLP) and computer vision for generative AI applications.
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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Demonstrated expertise in search indexing, retrieval and ranking systems like Elasticsearch/OpenSearch, personalization, and/or natural language processing. We are looking for a highly-skilled and experienced machine learning engineer to join the Search team to lead our search quality efforts through their early ML phase (and beyond.
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3 years of experience with AI/ML algorithms and tools (e.g., TensorFlow), deep learning, or natural language processing or other ML discipline. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more. Proven experience applying machine learning and statistical modeling techniques to solve real-world problems.
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PhD in applied mathematics, machine learning, natural language processing, or computational linguistics, with 10 years of professional experience. Experience with the open-source AI community for deep learning and large language models is a plus.
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Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. The ideal candidate is an expert in applying artificial intelligence and machine learning to the challenges of autonomous navigation.
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Experience conducting desktop and online studies or research on a wide variety of natural resource or resource planning topics, Geographic Information System, map interpretation (National Wetland Inventory, U.S. Geological Survey, aerial photography.
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They will be deeply committed to SVP’s racial equity focus : motivated to always keep learning, prepared to take action, and eager to support others in their growth, wherever they may be on their journeys.
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With over 10 billion cumulative shipments of SoCs embedded with our CPU IP, our products cover audio, Bluetooth, gaming, GPS, machine learning, MCU and more. Advanced CPU architecture (multi-core coherence, FPU, DSP, interrupt, Vector, Security, Reset and CDC, Debug) and assembly languages.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Minimum qualifications:PhD in Atomic, Molecular, and Optical (AMO) physics with expertise in quantum computing with trapped ions or neutral atoms.
$174,192 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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I and Machine Learning Integration: Design, develop, and implement AI-drivensolutions to automate and enhance business processes, including predictiveanalytics, natural language processing, and machine learning models Slackbot.
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6+ years of industry experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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machine learning natural processing jobs Title: specialist Company: Deloitte in Seattle, WA
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