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Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE's - Advised by Dr. Yanzhao Cao. The Office of Affirmative Action/Equal Employment Opportunity (AA/EEO) strives to ensure an inclusive and equitable working, living, and learning environment for members of the Auburn University community.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.
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5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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You have a strong background in quantitative/qualitative data management, machine learning, data research methodologies, and the focused application of data analysis to fix problems and address emergent customer trends.
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We welcome applications in research areas across the spectrum of CMP, especially (but not limited to) quantum materials by design, dynamics of quantum correlated materials, and data-driven and machine learning computational approaches to materials physics.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Machine learning workloads - Python and Linux experience Nice-to-have Skills - GPU's - General processing units - Gaming experience - Experience at top tech companies such as Google, Meta, Apple, Uber, Netflix etc Our benefits package includes: Comprehensive medical benefits Competitive pay 401(k) retirement plan.
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Experience with federal healthcare plans and emerging technologies such as Artificial Intelligence or Machine Learning (AL ML) is very strongly preferred. IT BUSINESS ANALYST (Healthcare, AI ML) ALTA IT Services has a direct hire opening for an experienced IT Business Analyst to join a Columbia, MD-based healthcare IT company.
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Job Description: Enable and deliver industry leading data-driven reporting and insights using modern data architecture, data science, and machine learning. Required Basic Qualifications: Bachelor's degree in Computer Science or related area of study, or equivalent combination of education and/or relevant work experience; High School Diploma or GED equivalent required 5 years of experience with application development or packaged software implementations Must be eligible to work in the United States without need for work visa or residency sponsorship Required Tech 1 years of GCP/Cloud experience as a developer.
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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. Exposure to Okta, Infoblox, Veeam, Commvault, or Microsoft SCCM.
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Experience in machine learning / deep learning, x-ray imaging, medical image reconstruction, or image-guided intervention systems is highly preferred. Learning & Development Opportunities: On-demand online training and book reimbursement.
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Knowledge of applying machine learning to ASIC verification flow. Mission: Groq is a machine learning systems company building easy-to-use solutions for accelerating artificial intelligence workloads.
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Research experience in machine learning, deep learning, and/or natural language processing. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. The design workflows and PIC-based systems you design, build, and use will help drive the overall development of a new and game-changing photonics technology to enable scalable quantum computing.
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machine learning jobs in Auburn, WA, Nebraska
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