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The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Principal Applied Scientist, with expertise in machine learning and a proven record of solving business problems through scalable ML solutions, to join our top-notch cross-domain FBA science team.
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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. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
$134,000 - $222,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Previous experience in areas like computer-aided design, statistical testing, modeling and mathematical optimization, and/or machine learning.
$123,191 - $161,289 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team works closely with high-technology clients developing advancements in artificial intelligence, machine learning, quantum computing, and other innovative technologies to secure patent protection and provide relevant strategic counsel.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Ph. D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a distinguished research background in emotion recognition, affective computing, or related areas.
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Come inspire kids during Summer camp with creative design projects, problem solving, and inspiring classes. Inspire the next generation of creative thinkers, through hands-on science, problem solving, and creative design.
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Candidates aiming to integrate modern methods of data science (DS), machine learning (ML) and artificial-intelligence (AI) to accelerate advances in their respective research areas are encouraged to apply.
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Experience in machine learning. Quantum computing has the potential to impact every area of human society for the better. You could be a software engineer with an emerging interest in quantum computing.
$115,692 - $151,471 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Passion for hands-on problem solving and avionics integration and testAbility to work independently on rapid development programsDemonstrate a strong solid understanding of electronics product development with expertise in systems integrationFamiliarity with use of complex computational devices (combinational and sequential logic) to monitor sensors and drive actuators, including design and verification.
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Alpha Bio is an early-stage and rapidly growing drug discovery company headquartered in Seattle, WA. We are enabling the next generation of high-impact therapeutics by combining high-throughput synthetic biology to measure protein-protein interactions at scale with state-of-the-art machine learning to predict how proteins bind.
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Stay ahead of emerging technologies and methodologies in data engineering and machine learning. Metropolis is seeking a Senior Data Engineer, Machine Learning to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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This position is responsible for investigating and problem-solving plant reliability issues ensuring all production lines maintain optimal runtime with minimal downtime within a manner consistent with CertainTeed Gypsum Vision, Mission, Values, and Objectives (VMVO.
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