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Javascript, Jenkins / Spinnaker, Artifactory, RESTful APIs building machine learning systems is a plus. ESSENTIAL DUTIES AND RESPONSIBILITIES:Develop and maintain software applications, Customized Data Decoders (ETL: Extraction, Transformation, Loading), web-based data analytics & visualization applications and machine learning models for machine-generated data sets.
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Areas to tackle include Supervised Machine Learning, Unsupervised Machine Learning, Data Mining, Deep Learning, Natural Language Processing (NLP), and Big Data. Analyze large and complex data sets to extract meaningful insights and identify patterns and trends.
$184,352 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, architect and implement large-scale machine learning systems/infrastructure/services for computer vision, computer graphics and deep learning models. The AI Platform team is a team focusing on building advanced end-to-end AI production pipelines, including deep learning model training, optimization, deployment and applications.
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Our graduates enjoy excellent career opportunities in a broad spectrum of theoretical and practical areas such as device physics, micro and nano electronics, analog electronics, integrated circuits, communications, signal processing, network and network security, mobile network, power electronics, energy systems, microprocessors and computer systems, embedded systems, control, robotics, autonomous systems, machine learning and deep learning, quantum information and quantum computing.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Deep knowledge in machine learning optimizations such as quantization, pruning, knowledge distillation, Neural Architecture Search (NAS), and optimizations for large models. - Familiar with one or more open-source deep learning frameworks, such as PyTorch, TensorFlow, PaddlePaddle etc.
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A team of experts in social-emotional learning, physical activity, education landscape, and ed-tech platforms guides us. We collaborate closely with schools to provide comprehensive programs infused with social-emotional learning (SEL.
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Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow, Pytroch or Jax; familiar with their underlying frameworks and implementation mechanisms. The Applied Machine Learning (AML) team serves as ByteDance's central AI organization.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position will leverage deep subject matter expertise in population health management (PHM), advanced practice management (APM), and healthcare economics to architect and evangelize the AI Care Solutions.
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Strong Infrastructure Knowledge for Compute, Network, Storage, Security, HA/DR. Deep knowledge of one or more Databases such as Oracle, HANA, MSSQL, Azure SQL, Postgres, CosmosDB, Aerospike Knowledge of various Compute platforms such as VMWare, Kubernetes (AKS, OCP, Tanzu.
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Actively engage with youth to create a fun, welcoming environment where they will learn soccer skills and social emotional learning skills. This curriculum gives coaches all the tools needed to plan and facilitate soccer practices where youth will learn soccer skills and social emotional learning skills.
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Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). Our compensation reflects the cost of labor across several geographic markets, and we pay differently based on those defined markets.
$246,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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