Sr. Manager, Machine Learning Amazon
Seattle, WA

Job Description

Are you interested in building, leading and driving the machine learning technical vision, strategy and implementation for a greenfield product development effort centered on AWS technologies? Global Learning and Development (GLD) is hiring a Senior Manager of Machine Learning to lead the definition and prioritization of our to-be-internally built learning platform of the future, and features within (end-to-end). GLD is responsible for the learning infrastructure at Amazon, comprised of both vendor and in-house tech. You will be a senior technical leader in the existing GLD development team, build, and drive the data science and machine learning needed for our product development. Our goal is to disrupt the current state of learning and development across Amazon and the world by using machine learning to bring together personalized learning and growth paths that extend beyond what occurs in a Learning Management System (LMS).

As a Senior Manager of Machine Learning at Amazon, you will provide technical leadership to the teams, organization and products for machine learning. Senior MLS's are specialists with deep expertise in areas such as machine learning, speech recognition, natural language processing, computer vision, and knowledge acquisition and help drive the ML vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving Amazon's products and services.

The ideal candidate will be an expert in the areas of machine learning, data science, productionizing algorithms, AWS services, and statistics. You will have hands-on experience leading multiple simultaneous product development initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models, and methodologies choices. You will strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof.

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