DESCRIPTION
Job summary
Are you ready to challenge the status quo for distributed deep learning model training? Are you excited to research and innovate techniques to co-design hardware- software and scientific techniques to train deep learning models with few million parameters to billions of parameters? Then, we think we can together push frontiers of deep learning model training capabilities! AWS AI group is looking to hire passionate Applied Scientists for SageMaker distributed data parallelism team (https://docs.aws.amazon.com/sagemaker/latest/dg/data-parallel-intro.html) to join us in writing the future of deep learning model training software stack.
Some of the problems we are working on include:
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