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As a reality capture BIM engineer, you will work closely with field engineers and cross-functional teams to improve the quality and productivity of automation deployment for Amazon’s fulfillment network.
$182,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AWS’ Elastic Block Store (EBS) is looking for an experienced Systems Development Engineer to help shape the future of cloud computing. As a Sr. Systems Development Engineer (SysDE) of the EBS Fleet Provisioning team you’ll assume a leadership role among a group of skilled engineers owning orchestration of the EBS fleet's provisioning and de-provisioning.
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As a Senior Machine Learning Engineer at AFX, you will be at the forefront of building AI-driven software tools that empower our field teams to win opportunities and generate revenue for AWS. You will work with a team of passionate scientists and engineers to design, develop, and improve generative AI and traditional ML models that drive multiple software products.
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As an Advanced Materials Engineer (Level 6), you will identify key partners in industry and academia to gain access to cutting edge materials, work with internal and external partners to derisk technologies, and conduct studies to demonstrate desirability and reliability.
$213,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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These range from groups such as the Black Employee Network (BEN), Amazon Women in Engineering (AWE) and Glamazon (our LGBTQ+ community). As a System Development Engineer, you will get the opportunity to architect large-scale distributed systems, improve availability and performance, and innovate to increase hardware resource utilization to improve costs for our customers.
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In this role you are passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV.
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