Amazon
Principal Applied Scientist (AI for Enterprise Apps), AWS Supply Chain
Amazon, Seattle, Washington, us, 98127
Overview
Principal Applied Scientist (AI for Enterprise Apps), AWS Supply Chain
Join to apply for this role at Amazon Web Services (AWS). As part of the AWS Solutions organization, we envision providing business applications that help millions of companies manage day-to-day operations. We accelerate our customers businesses through intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you excited about developing state-of-the-art GenAI/Agentic AI-based solutions for enterprise applications? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Youll have opportunities to be a disruptor, prolific innovator, and a reputed problem solversomeone who enables machine learning to create significant impact. We are seeking a Principal Applied Scientist who can apply deep learning and generative AI techniques to conceptualize, promote, and execute advanced solutions for previously unsolved challenges. You will bring AI advancements to customer-facing enterprise applications in AWS Supply Chain. You will work in a fast-paced, cross-disciplinary team of researchers who are leaders in the field, distilling real requirements and delivering solutions that may leverage existing research or your own pragmatic thinking. You may also deliver these to production in customer-facing products. About the Team
Why AWS Amazon Web Services is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate to power customers businesses. Qualifications
Basic Qualifications
PhD in Computer Science, Machine Learning, Statistics, Applied Math or a related quantitative field 8+ years of relevant, broad research experience after PhD Publications at top-tier peer-reviewed conferences or journals in reinforcement learning, deep learning, and machine learning Fluency in Python, SQL or similar scripting languages Strong algorithm development experience Depth and breadth in state-of-the-art machine learning technologies Strong prior experience with mentorship and/or management of senior scientists and engineers Preferred Qualifications
Experience programming in Java, C++, or related language Experience in building machine learning models for business applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company Amazon Web Services, Inc. Location: Bainbridge Island, Seattle, Redmond, Bellevue, WA Employment type
Full-time Job function
Research, Science, and Engineering Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x. #J-18808-Ljbffr
Principal Applied Scientist (AI for Enterprise Apps), AWS Supply Chain
Join to apply for this role at Amazon Web Services (AWS). As part of the AWS Solutions organization, we envision providing business applications that help millions of companies manage day-to-day operations. We accelerate our customers businesses through intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you excited about developing state-of-the-art GenAI/Agentic AI-based solutions for enterprise applications? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Youll have opportunities to be a disruptor, prolific innovator, and a reputed problem solversomeone who enables machine learning to create significant impact. We are seeking a Principal Applied Scientist who can apply deep learning and generative AI techniques to conceptualize, promote, and execute advanced solutions for previously unsolved challenges. You will bring AI advancements to customer-facing enterprise applications in AWS Supply Chain. You will work in a fast-paced, cross-disciplinary team of researchers who are leaders in the field, distilling real requirements and delivering solutions that may leverage existing research or your own pragmatic thinking. You may also deliver these to production in customer-facing products. About the Team
Why AWS Amazon Web Services is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate to power customers businesses. Qualifications
Basic Qualifications
PhD in Computer Science, Machine Learning, Statistics, Applied Math or a related quantitative field 8+ years of relevant, broad research experience after PhD Publications at top-tier peer-reviewed conferences or journals in reinforcement learning, deep learning, and machine learning Fluency in Python, SQL or similar scripting languages Strong algorithm development experience Depth and breadth in state-of-the-art machine learning technologies Strong prior experience with mentorship and/or management of senior scientists and engineers Preferred Qualifications
Experience programming in Java, C++, or related language Experience in building machine learning models for business applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company Amazon Web Services, Inc. Location: Bainbridge Island, Seattle, Redmond, Bellevue, WA Employment type
Full-time Job function
Research, Science, and Engineering Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x. #J-18808-Ljbffr