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Technical proficiency with a B2B Marketing tech stack, including marketing automation (Hubspot experience preferred), CRM software (e.g. Salesforce), and account-based marketing software (e.g. 6Sense, Demandbase, etc.
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Taking an Intelligent Cancer Care approach, we are harnessing advanced technologies like artificial intelligence, machine learning, and data analytics to advance cancer treatment and expand access to care to help patients become survivors.
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And Fortran; parallel computing models, such as Message Passing Interface (MPI) and OpenMP, as well as offloading models for accelerators, such as general purpose graphic processing units (GPGPUs); hybrid computational approaches using MPI with threads or other models; deep understanding of parallel software development and profiling tools; and related technologies and tools in support of data analysis, such as machine learning.
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Stack: React, typescript, golang. Our priorities are three-fold: easy infrastructure management, rapid automated deployments, and app libraries for instant super powers to your stack. [Full Time] Fullstack Engineer at Argonaut (United States) | BEAMSTART Jobs.
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Our team is working across the full stack of quantum computing, from quantum architecture to photonic chip manufacturing, advanced opto-electronic packaging, hardware systems design, quantum algorithms and software tools, and cryogenic cooling.
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This role requires strong experience in leading research and development in digital health, especially applying AI, Machine Learning, and Generative AI / LLM to develop novel health products that leverage wearables, smartphones, apps, and health data.
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Under supervision and in a trainee capacity, processes emergency and non-emergency calls for service; dispatches police, fire, medical, rescue, animal control or other emergency equipment, by telephone or radio, utilizing complex technical aids, such as computer aided dispatch systems (CAD); and performs other related duties as assigned.
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Join a world-class team of silicon and distributed systems experts at Enfabrica as a Package Design Engineering Lead. You have the opportunity to be part of building a groundbreaking new category of products that revolutionize the performance and scalability of next-generation AI and accelerated computing systems, and to help solve key infrastructure challenges facing our customers.
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Academic and commercial groups around the world are powering a revolution in artificial intelligence (AI), using deep learning algorithms running on NVIDIA GPUs, enabling breakthroughs in solving a wide range of complex sensor processing problems in various domains, building on top of NVIDIA Holoscan platform.
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Our Santa Clara, CA team is hiring a visionary to lead the charge in technical development as our full-time DICOM Staff Software Engineer. This is a highly collaborative role where you work with talented software engineers, QA testers, and healthcare professionals to adequately define the technical specifications for DICOM-related features.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Lead pre-layout and post-layout simulation flow with a focus on high-speed interface and PDN, create simulation models and develop simulation methodology for SIPI design.
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Our team is working across the full stack of quantum computing, from hardware design, manufacturing, and packaging through to quantum architecture and quantum algorithms. Photonics and RF simulation tools such as Lumerical, HFSS, ADS, COMSOL, etc.
$172,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2-Hour Full-Stack Virtual On-Site Interview (Technical + General) (Preferred) Strong Backend/Full-Stack Programming Skills ( Must be comfortable with Python ) Work with a stack that includes Python, Javascript, Vue, React Native, Flask, and other frameworks.
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MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience. Experience in causal inference and machine learning. You will be an active contributor to the full product life cycle, collaborating with engineers, product managers, and designers from inception to delivery to produce high-quality experiences for our customers.
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The network is serving the needs across the whole software stack for NVIDIA from Graphics Drivers to Autonomous Vehicles to Deep Learning frameworks. NVIDIA’s deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies.
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machine learning technical lead full stack jobs in Mountain View, CA
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