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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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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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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Hands-on experience with LLM application frameworks, such as Langchain.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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Extensive, up-to-date knowledge and hands-on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU) We are seeking individuals with hands-on experience in building machine learning models, acquired in either academic or industrial settings.
$309,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must be graduating with a PhD degree in a technical subject (e.g. PhD degree in a technical, or analytical-related, subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree ) between December 202 5 and July 202 6.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a degree in electrical engineering or computer science, with expertise in patent prosecution related to electrical engineering, software, data science/AI, networking technologies, and machine learning/artificial intelligence.
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We are looking for a networking and virtualization savvy Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing networking solutions for Machine Learning, Deep Learning and Data Analytics workloads on virtualized platforms.
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5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning & reasoning will enable and empower consumers and businesses in new ways.
$156,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Professional expertise relevant to developing hardware and software IoT and robotic applications for new problem areas, in any of the following areas: hardware architecture, processing platforms and sensing technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology.
$230,369 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
hands on machine learning jobs Title: architect Company: Databricks Inc in Bellevue, WA
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