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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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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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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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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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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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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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Experience with Google Cloud Platform MLOps tools (e.g., Vertex AI) Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. 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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Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more. Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems.
$115,590 - $194,180 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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Digital signal processing, both mathematical foundations and bench experience in either image processing, RF, or optics. We’re looking for a senior software engineer with knowledge of control theory and signal processing to help us improve the accuracy of the RF and laser pulses used to create our quantum gates.
$153,003 - $200,321 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 the Scala programming language and popular functional frameworks such as: Cats, Cats Effect, ZIO, and.
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Set direction on the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment. 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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Kafka, Elastic Search, Cloud Native, Kubernetes, GCP. RUST - Data Processing. Plus, we offer learning and development opportunities to help our associates grow their skills and achieve their goals.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake.
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The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. This company engages in the exploration, production, transportation, and sale of crude oil and natural gas.
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learning natural language processing google cloud jobs Company: Agile Loop in Seattle, WA
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