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As the “front door” of personalization and discovery, Search helps millions of listeners fall in love with the depth of our content catalog across Pandora and SiriusXM.In this role, you will leverage your expertise in machine learning, information retrieval, ranking, natural language processing, and recommendations to frame business goals as machine learning problems, research novel methods, and build machine learning systems for Search and Voice.
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Troubleshoot and repair the following types of machines and components: Liebherr, DMG, Pietro Carnaghi, Ingersoll, Innse, and Pama and variety of others in the machine shop as well as various cranes and hoists, conveyors, furnaces, welding assets, etc.
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Requires a Master's degree in Computer Science, Artificial Intelligence, Operations Research, Applied Mathematics, Robotics, Industrial Engineering, or related field and 5 years' experience as an AI Scientist, AI Engineer, Machine Learning Engineer, Optimization Engineer, Automation Engineer, Data Scientist, Operations Research Analyst or closely related occupation.
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The Difference You Will Make:As a senior machine learning engineer, your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to define and shape the future of the Airbnb Community Support experience.
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O Knowledge of GPS equipment including machine control & GPS rover. Ability to pass test for heavy equipment operation of one or more of the following: skid-steer, mini-excavator, front-end loader, backhoe, roller, off-road truck, water truck, dozer, excavator, motor grader, rover, GPS, and other pieces of equipment.
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Programming skills and familiarity with GPU based technologies like CUDA, CuDNN and TensorR and background with deploying machine learning models on data center, cloud, and embedded systems.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Be open to learning,if not currently skilled in, Finite Element Analysis (FEA) models of complex assemblies and loading conditions. Source prototype components using our 3D printers, our in-house machine shop, or nearby vendors.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Summary of Responsibilities : The Machine Builder will be responsible for the assembly of our Electron Beam Welding and Additive Manufacturing systems. Machine Builders are primarily responsible for; Participation in mechanical, electrical, pneumatics and hydraulics assemblies including precise mechanical subassemblies, electrical panels and cabinets Gathering information and components required to organize and manage multiple builds.
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In the cover letter, the applicant must specifically describe his/her expertise in relevant fields like battery chemistry and physics, materials science, X-ray physics, microscopy, electrical measurements, analysis of large datasets, artificial intelligence & machine learning, computer programming.
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Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science.
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Manager, Cyber Risk & Analysis (Machine Learning) Capital One's commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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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.
$106,590 - $139,650 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago
machine learning jobs Title: expert Company: Nepris Inc
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