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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.
$293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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As a hands-on leader, stay up front with latest technology development in the science domain, including but not limited to machine learning, generative AI and LLMs, and drive science applications and innovations in products and programs in SDS. - Mentor and guide team members to achieve their career goals and objectives.
$196,900Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
$250,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on understanding of AI and machine learning algorithms, leveraging Deep learning using RNNs, BERT for contextual understanding and Fine-tuning LLMs. As a Senior AI/Machine Learning Engineer , you will responsible for designing, developing, maintaining, deploying and monitoring NLP, AI, and machine learning models that drive the core of the platform and products.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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A successful candidate will have an established background in launching software or services, hands on data science, AI, ML, technical background or experience driving technical products, an entrepreneurial background, and a passion for great customer-centric online products.
$264,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Students completing their Bachelor of Applied Science (BAS) degree will culminate their studies with a choice between participating in an extensive Capstone project or an internship experience, providing them with valuable hands-on experience in the fieldEssential Functions Our program seeks part-time faculty proficient in providing practical, hands-on instruction using industry-standard tools.
$6,968.62Part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Experience working in the quantum computing industry or using quantum computers in another industry (hands-on experience developing basic quantum circuits.
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Work from homeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You have hands-on expertise with leading technologies for building applications powered by machine learning, deep learning, computer vision, or natural language processing.
$307,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. Expertise with scaling pilot machine learning solutions to a large-scale production environment using Databricks.
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Strong hands on experience in machine learning algorithms and techniques, such as regression, classification, clustering, deep learning, anomaly detection, and time series forecasting.
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You will manage and mentor the Applied Scientists on the team and leverage state of the art machine learning techniques for natural language processing to improve how agreements are drafted, summarized, signed, managed, and queried.
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