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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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We're seeking an Applied Machine Learning Research Scientist to collaborate closely with our top-tier machine learning and data systems experts, driving innovation and creating the foundation for groundbreaking machine learning products.
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Fueled by an accelerating revenue stream, and investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight - we are rapidly expanding our team. Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools.
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You will have a unique opportunity to work with a high-caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
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All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
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Strong track record in any field related to machine learning, as evidenced by top-tier publications. Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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Analytics: prior experience in data analytics or machine learning a strong plus. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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We've raised 25M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota.
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AWS is the leading provider of cloud computing services, providing IT infrastructure offerings ranging from on-demand compute capacity to storage, content delivery, and database services, to machine learning, Internet of Things, serverless technologies, and more.
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With a remarkable $77 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more.
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At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Chief of Staff, Enterprise AI, you will work closely with Scale's Enterprise business unit leadership team to execute on our vision to be the partner of choice for Generative AI solutions at top tier Fortune 500 companies.
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We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and recently completed our $50 million Series C in January 2024.
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Strong publication record in top-tier conferences in one or multiple of the following areas: Distributed Database systems Edge Computing Data Architecture and Storage Efficiency Very large data management Natural Language Processing Computer Vision Decision Support Systems Machine Learning and AI Data Mining and Knowledge Discovery Information Retrieval and Visualization Distributed Systems Optimization.
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We’re commercializing , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Proud to be backed by $250+ million from top-tier investors like.
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About Wispr: We've raised $26.5M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota.
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top tier machine learning jobs in San Francisco, Laveen, Arizona
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