AWS builds and operates cloud AI/ML services and infrastructure (e.g., SageMaker and GenAI tooling).
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Amazon Web Services (AWS) Machine Learning is a division of Amazon dedicated to democratizing artificial intelligence and machine learning for developers and data scientists of all skill levels. By providing a comprehensive suite of cloud-based services, AWS enables organizations to build, train, and deploy machine learning models at scale, reducing the complexity and cost traditionally associated with AI infrastructure. Key offerings include Amazon SageMaker, a fully managed service for the entire ML lifecycle, and a growing portfolio of generative AI tools designed to accelerate innovation across industries.
To put machine learning in the hands of every developer and data scientist, making it easier to build, train, and deploy models at scale.
Founded
2006
Headquarters
Seattle, Washington, United States
Employees
10,000+
Industry
Cloud Computing / AI & ML Platform
Access to cutting-edge technology and massive-scale infrastructure projects.
Highly competitive compensation packages including stock options.
High-pressure work environment with demanding performance expectations.
Revenue
Over $90 billion (AWS total annual revenue)
Funding
Publicly traded (Subsidiary of Amazon.com, Inc.)
CEO
Matt Garman
Large organizational structure can lead to bureaucratic processes and silos.