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We are seeking a self-motivated, experienced Machine Learning Engineer. BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology.
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
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This role will report to the Verily Product Learning Manager. The Learning Experience Designer will work collaboratively with diverse team members and subject matter experts to design and develop learning resources and continuously update resources for rapidly evolving clinical research solutions, with an initial focus on clinical protocol digitization.
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As a Senior / Principal Machine Learning Engineer with the Creator Services Natural Language Processing Team, you will build NLP, speech and generative AI models and products and bring the latest machine learning technology to our creators and help them create experiences at scale.
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You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels.
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Reporting to the VP, Human Resources, this unique senior leadership role has the full responsibility of the Cytokinetics Talent Development four pillars: Organization Development, Learning & Development, Talent Planning, and Talent Development Operations.
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Lead all non-sales Learning & Development skills development including annual needs assessment, identification of key gaps, design & development of learning curricula and assets, marketing and communications, program evaluation and ongoing continuous improvement.
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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. or PythonSolid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithmsSolid understanding of web servers and web technologiesExperience handling large data setsCompensationThe salary range for this position is $155,000 to $220,000.
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Create and Execute a Talent Strategy – Vice President/SVP, Human Resources will be responsible for talent acquisition, employee engagement, total rewards, learning and development, organization development & effectiveness, diversity & inclusion and HR operations.
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Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C.
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Vice President/SVP, Human Resources will be responsible for talent acquisition, employee engagement, total rewards, learning and development, organization development & effectiveness, diversity & inclusion and HR operations.
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As a learning organization, we encourage professional development and career advancement, and we offer up to $3,000 annually ($12,000 lifetime maximum) for education assistance with tuition reimbursement and/or loan debt relief that includes qualified family members.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Alluxio moves data closer to big data and machine learning compute frameworks in any cloud across clusters, regions, clouds, and countries, providing memory-speed data access to files and objects.
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Conference or Journal publications in Machine Learning or Robotics related venues. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field.
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machine learning jobs Title: devops engineer backend in San Bruno, CA
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