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domain	amazon.science
summary	Key job responsibilities Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customers performance needs Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes Work closely with partner teams to drive model implementations and new algorithms About the team Amazon Web Services AWS provides a scalable cloud computing platform to companies globally.Do you want to join an innovative team of scientists who use deep learning, natural language processing, large language models to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support and provide the best customer and seller experience by automatically mitigating risk Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience Do you like to build end-to-end business solutions and directly impact the profitability of the company Do you like to innovate and simplify processes If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services SPS group.
title	Amazon Science homepage
description	Learn about Amazon's scientific research, science community, and career opportunities in artificial intelligence (AI), machine learning (ML), computer vision, robotics, quantum, economics and more.
keywords	will, amazon, research, work, team, models, learning, data, scientist, machine, world, scientists, network, customers, have, fulfillment, amazons
upstreams	amazon.com, amazon.ca, amazon.co.jp, amazon.com.tr, amazon.es
downstreams	x.com, instagram.com, youtube.com, facebook.com, linkedin.com, github.com, amazon.jobs, amazon.com
nslookup	A 18.154.48.57, A 18.154.48.11, A 18.154.48.59, A 18.154.48.36
created	2024-02-12
updated	2024-11-29

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