Bobbie's Learning Center LLC
Applied Scientist, Machine Learning Accelerator
Bobbie's Learning Center LLC, Seattle, Washington, us, 98127
Applied Scientist, Machine Learning Accelerator
Amazon
Published 20 Aug 2024Share this job
Seattle, WA, USA$136000-$222200 annually.Full TimeShare this job
Role Highlights
JavaC++PythonNLPData MiningData StructuresTrust & SafetyResearchOptimizationTools, Libraries and Frameworks
UnixDescription
The company is building advanced algorithmic systems that utilize deep learning and natural language processing to enhance the seller experience across the seller life cycle. This role involves researching and prototyping machine learning applications that address strategic business challenges. Additionally, the individual will work collaboratively with project leaders and engineers to design and implement scalable solutions. The focus is on delivering impactful tools and methodologies while mentoring team members and staying updated on the latest industry techniques.Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.Share & Disclaimer
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Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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Amazon
Published 20 Aug 2024Share this job
Seattle, WA, USA$136000-$222200 annually.Full TimeShare this job
Role Highlights
JavaC++PythonNLPData MiningData StructuresTrust & SafetyResearchOptimizationTools, Libraries and Frameworks
UnixDescription
The company is building advanced algorithmic systems that utilize deep learning and natural language processing to enhance the seller experience across the seller life cycle. This role involves researching and prototyping machine learning applications that address strategic business challenges. Additionally, the individual will work collaboratively with project leaders and engineers to design and implement scalable solutions. The focus is on delivering impactful tools and methodologies while mentoring team members and staying updated on the latest industry techniques.Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.Share & Disclaimer
Share this job
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
#J-18808-Ljbffr