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Drive advances in the analytics tools and frameworks (e.g. across structured detection algorithms, machine learning, artificial intelligence, behavioral analysis) both for our growing research team and in the Corelight Sensor, to create and execute those models.
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About The RoleAs a Distinguished Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$247,800 - $371,500ExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Our team is growing, and we are looking for a Full-Stack Engineer who is passionate about building scalable systems and has a keen interest in machine learning and artificial intelligence.
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By way of our expert-backed content and intuitive, integrated teaching platform, Kira is intent on transforming the way computer science and artificial intelligence is taught and learned.
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At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022.
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About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared.
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Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
$158,000 - $269,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tavus uses artificial intelligence deepfake technology to generate realistic videos that perfectly imitate customer's gestures and voice- it's pretty stellar. Backed by Sequoia Capital, Y-Combinator, and other top valley firms, our team has raised $25m to revolutionizing modern marketing and product experiences with AI videos.
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Cloud, artificial intelligence, machine learning, mobile, Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Required qualifications, capabilities, and skills: Work with mobile application team to setup monitoring and resolve production issues/crashes on mobile devices.
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Scale is at the forefront of enabling Artificial Intelligence across multiple industries, including self driving cars, eCommerce, natural language processing, and more. This is the perfect opportunity for a self-starter who is interested in expanding their analytical and operational toolkit within the context of Artificial Intelligence.
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Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Pano brings together a diverse team bridging frontline, wildland firefighting experience with best-in-class know-how in operations, logistics, artificial intelligence, and software. About Pano: Pano is a venture-backed early-stage climate tech startup that is the leader in wildfire early detection, leveraging the latest advancements in IoT, AI, satellites, and SaaS software to deliver actionable intelligence to customers.
$165,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Our company spun out of the UC Berkeley AI Research Lab and develops artificial intelligence to support care for those with Alzheimer’s disease, dementia, and other cognitive impairments.
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Digitizing Engineering function with new technologies like Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc. + 1 year of experience related to new technology (Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.
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We were founded in 2017 by Shikhar Shrestha and Vikesh Khanna, experts in artificial intelligence from Stanford University who previously built iconic products at Apple, Google, Microsoft, and Dropbox.
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