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Starting in 2009, the Visual Shopping team has thus far launched many visual search solutions on the Amazon App that use computer vision and machine learning/deep learning to help customers complete their shopping missions more easily; multiple internal teams at Amazon (devices, Kindle, Seller services, etc.
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AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services.
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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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Experience as a mentor, tech lead or leading an engineering team. 3+ years of experience writing code to train and/or deploy deep learning models in PyTorch. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.
$340,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Broad technology experience including: cloud architecture, applications development, relational databases, NoSQL databases, analytics, machine learning, networking, security, storage, DevOps, containers (EKS, Fargate), serverless, CI/CD, management and monitoring, IoT (Internet-of-Things) cloud migrations, IT transformation.
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Contribute to design the Delivery Station of the future combining Robotics, Automation, IoT and Machine Learning disciplines. Amazon Logistics (AMZL) is looking to hire an experienced, innovative, hands-on, and customer-obsessed Innovation Engineer to lead the application of automation into our WW (World Wide) Delivery Station Network.
$205,600 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer (MLE) You Will Contribute To The Design, Development And Improvement Of Generative AI As Well As Traditional ML Models And Systems For Various Software Products.
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This individual will own robotics and automation implementation projects end-to-end and will partner with Robotics, SW Tech Teams, Process Engineering teams, Operations, Facilities and Engineering teams to effectively operate advanced robotics technology across WW Amazon's last mile network.
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We conceptualize new data science solutions, using optimization and machine learning platforms, to analyze new and existing process, identify and reduce non-value added steps, and increase overall performance and rate.
$235,200 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. Our team, Sort Tech, builds the technology that enables manual and automated sortation, containerization, loading and unloading processes at over 2k nodes in Amazon’s worldwide transportation network - Fulfillment Centers (FCs), IXDs (Inbound Receive Centers), Sort Centers (SCs), Amazon Air Gateways and Delivery Stations (DSs.
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As a senior SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our customer base. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
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Collaborate with Amazon partner tech teams to ensure product re-usability, avoid redundancies, and optimize data pipelines. Lead product strategy and vision supported by internal data and external analysis, incorporating data science methodologies.
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AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You’ll work in a fast-paced environment and will be required to lead not only at the strategic level, but also tactically day-to-day by diving deeply into business and technical domains. Collaborate closely with scheduling tech team and scheduling-ops to gain consensus on initiatives.
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machine learning tech lead jobs Company: Amazon in CA, Us
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