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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Address large scale challenges in the machine learning development cycle, especially around distributed training and inferencing environment in the cloud and data engineering. As a Machine Learning Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale.
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Experience with modern data processing pipelines and technologies (i.e. Hadoop, Spark, Airflow). NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. Experience in at least one modern programming language such as Python, Java, Go, Rust, and proficiency in SQL.
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You will have the opportunity to - build enterprise products that solve real world problems by leveraging our machine learning platform, build the foundational frameworks and services which abstract away the product needs and provide scalable and reliable building blocks, build the enterprise data platform for various product needs.
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Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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The role involves leveraging methods from multiple disciplines including computational genetics, statistical inference, and machine learning. The Computational Genetics team is seeking a full-time Computational Biologist who will guide strategic initiatives and directly contribute to identifying and extracting biological insights from high dimensional multi-omics data.
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We are seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our next efforts to extract quantitative biological insights from millions of fluorescence microscopy images.
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The Director HR Tech Data and Analytics role will report to the Director, HR Tech and lead a cross-functional team responsible for dashboard development across the employee lifecycle, product development, data governance, and full stack HR reporting.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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At Astera Labs, we are looking for motivated Post-Silicon Validation Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
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NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team in Santa Clara, CA, USA. As a member of our team you will develop key features for our autonomous driving platform.
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Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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