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Job Description:We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/Client.
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Principal Machine Learning Engineer at Realtor.com (View all jobs) Location: Austin, TX Are you a Principal Learning Engineer expert? Architect best in class solutions to maintain the machine learning lifecycle and drive ML Ops (monitor inference performance, scalability, availability etc) Develop predictive, explanatory models and machine learning algorithms that gracefully scale to increasing complexity as well as drive revenue growth, customer retention and support strategic decision making.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Work with a world-class team: Our team has deep expertise in technology, machine learning, law, and finance, combining experiences from careers at Google, Uber, Waymo, Quora, Vimeo, Blizzard, and more.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Our GPU Architect team delivers whole system architecture-level design for Samsung's current and next-generation mobile GPU. Depending on the functional discipline, they're responsible for anywhere from early-stage architectural exploration, research work focusing on graphic and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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During the first year, new HSAG analysts are provided formal internal training in statistics, machine learning, clinical epidemiology, SAS, Tableau, healthcare data, and an assortment of healthcare-related topics.
Full-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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AI, Machine Learning, Data Science & Analytics (Required: Python, TensorFlow, Neural Networks, Predictive Modeling, LLM. Pipeline ownership – Managed and grew sales pipeline around AI and Machine Learning.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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About the team As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. Strong knowledge in electrical engineering fundamentals, power & signal integrity, and analog/digital circuits and able to drive component selection and validation of electrical, mechanical components, cables.
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Many of our clients are trying to keep up with companies based solely on an interconnected supply chain; we modernize their supply chains using artificial intelligence, machine learning, and connected products resulting in a competitive asset for the entire organization.
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Conducting research to stay up-to-date with the latest advancements in generative AI, LLM, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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SambaNova Systems employs some of the greatest minds and talent in AI and machine learning. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation.
$151,200 - $207,900ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.
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Must have an understanding of emerging technologies including distributed ledger, artificial intelligence/machine learning, digital payment systems, APIs and cloud. Identify new client cross sell opportunities by working close with colleagues in wealth management, investment banking and foreign exchange and trading.
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Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics. Demonstrated personal interest in continuous learning and development.
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machine learning jobs in Austin, TX
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