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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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Phd/MTech/MS in Computer Science, Artificial Intelligence/Machine Learning, Mathematics or Statistics. - Previous experience working with deep learning frameworks and architectures such as MXNet, TensorFlow, PyTorch, CNN/RNN/LSTM, Autoencoders, Transformers.
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To achieve this, we work closely with various machine learning (ML) applied science teams dedicated to improving the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
$52,900 - $127,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call.
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Current advancements are underway in robotic movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive data, and much more.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with AWS AI services (e.g., Amazon Comprehend), ML platforms (Amazon SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) Collaborate with other science teams at Amazon to consistently iterate and improve our AI/ML solutions.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud and are available at up to a 90% discount compared to On-Demand prices.
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We are looking for smart, motivated Software Development Engineers who can help in building personalized discovery experience for thousands of live streaming events available world-wide using technologies like machine learning.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. Utilize AWS and other Amazon technologies to build high-available software services.
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Experience with theory and practice of information retrieval, data science, machine learning and data mining. We design, deploy and support IT infrastructure, devices and Services across Amazon’s Global Fulfillment Centers, Transportation (Middle Mile, Last Mile & Logistics), and Specialty Customer Solutions (Amazon Fresh, Prime Now, Lockers, Pantry, Campus, and Prime Air.
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Are you excited about building technology controls over innovative, new technologies like machine learning, Artificial Intelligence, Robotics, and cloud services? The global accounting organization supports our financial reporting, internal control, intercompany, and transfer pricing activities and also supports new business launches globally for Amazon in the consumer products, digital initiatives, merchant, operations, logistics, payments, and cloud computing lines of business.
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Do you want to join an innovative team of scientists who use machine learning to help Amazon provide the best experience to our Selling Partners by automatically understanding and addressing their challenges, needs and opportunities.
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AWS also develops advanced IOT, machine learning, and other devices and services. Amazon's Legal Department is looking for a talented attorney to lead global sovereignty offerings for Amazon Web Services (AWS.
$123,100 - $229,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
machine learning jobs Company: Amazon
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