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Amazon

Senior Applied Scientist, AWS AI Foundational Research Team

Amazon, Bellevue, Washington, us, 98009

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Senior Applied Scientist, AWS AI Foundational Research Team

Job ID: 2824271 | Amazon Development Center U.S., Inc. Amazon is looking for a world-class senior applied scientist to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team, you will invent, implement, and deploy state-of-the-art machine learning algorithms and systems. You will build prototypes and explore conceptually large-scale ML solutions across different domains and computation platforms. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world-famous scientists. This team is part of AWS Utility Computing: AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. BASIC QUALIFICATIONS

- PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS

- 5+ years of applied research experience - Experience in building speech recognition, machine translation, and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience in large-scale distributed AI systems Amazon is committed to a diverse and inclusive workplace. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Posted:

November 8, 2024

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