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You are an individual with a deep understanding of computational genomics, bioinformatics, machine learning, statistics, next-generation sequencing, and single-cell multi-omics.
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Knowledge of applying machine learning to ASIC verification flow. Groq is a machine learning systems company building easy-to-use solutions for accelerating artificial intelligence workloads.
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7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
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The Chan Zuckerberg Imaging Institute is seeking an experienced AI/Machine Learning Engineer to support the New Algorithms for Cryo ET Team Leader to create innovative algorithms that addressspecific challenges in computer vision, generating meaningful and high-quality data representations that facilitate downstream tasks.
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The improvements will support US Government position and timing service resiliency as well as enable next-generation commercial applications like drone delivery, self-driving cars, urban air mobility, and augmented reality.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Conference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.
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About the roleWe are looking for an infrastructure engineer with expertise in machine learning for autonomous systems. Excellent debugging, analytical and problem-solving skillsA deep understanding of machine learning foundations and can develop technical solutions for new problemsNice to have:Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Implementing Cisco ASA Next-Generation Firewall (NGFW), as well as web security, email security, and cloud web security. We are looking for an enthusiastic engineer who wants to grow and develop.
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We are seeking a software engineer who has a strong grasp of robotics, perception, SW, localization, and mapping and who wants to develop and ship production level software to the next generation Level 2 autonomous solutions within Ford’s vehicle lineup.
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Our goal is to deepen insights into customer behaviors and satisfaction using data science, machine learning, and AI. We partner with several teams across Robinhood including: Data, Product, Marketing, Eng, Finance, and Research.
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The team drives innovation in Machine Learning Relevance and Ranking algorithms to provide optimized results for our customers and drive business KPIs. Our engineers are versatile, display leadership qualities and enthusiastic to take on new problems across the full stack as we continue to push technology forward.
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Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera.
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Advise patent litigation teams based on technical and scientific expertise in the area of Machine Learning. A law firm in Redwood City, CA, is seeking a highly skilled Machine Learning Technology Specialist to join their dynamic team.
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Extensive experience in DFT techniques including JTAG, Scan, memory BIST, scan compression, ATPG vector generation, Boundary Scan, and DFT for mixed-signal and digital Ips. Experience with DFT verification and ATE test pattern generation.
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