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What you'll do:Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision.
$146,500 - $234,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in machine learning, deep learning/LLM, information retrieval, natural language processing. The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google s Vertex AI, Azure s AI tools, and AWS s Machine Learning services.
$174,000 - $218,000 a yearFull-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. Digital signal processing, both mathematical foundations and bench experience in either image processing, RF, or optics.
$153,003 - $200,321 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President, you will apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems, collaborate with various teams, and actively participate in the knowledge sharing community.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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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.
$115,590 - $194,180 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing. 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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Continually expand your knowledge of the latest advancements in machine learning technologies, cloud services, and software engineering best practices with an eye towards identifying and integrating exceptional new components into the AI lab's production repertoire.
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Hands-on experience building production quality applications related to natural language processing and machine learning. In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems.
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Familiarity with at least one of the following Java Virtual Machine (JVM) languages: Java, Scala, or Kotlin.
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Familiarity with the Scala programming language and popular functional frameworks such as: Cats, Cats Effect, ZIO, and. Set direction on the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment.
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You will lead and be part of an engaging, dynamic, and inclusive engineering organization, grounded in scrum and agile practices, with strong collaboration between squads, and motivated by a commitment to continuous learning and improvement.
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machine learning natural language processing cloud jobs Company: Agile Loop in Seattle, WA
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