Amazon Jobs
Overview
The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developers work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon SageMaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you. Responsibilities
As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems you take on require scientific breakthroughs. Why AWS & Culture
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate to power customers of all sizes. Inclusive Team Culture: Our employee-led affinity groups foster a culture of inclusion and embrace differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness. Mentorship & Career Growth: We provide knowledge-sharing, mentorship and career-advancing resources to help you develop. Work/Life Balance: We value work-life harmony and strive for flexibility in our working culture. Team & About the Role
This team is part of AWS Utility Computing (UC). UC provides product innovations from foundational services to newly released products that set AWS’s services apart. 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 cloud services. Qualifications
PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience 5+ years of building models for business applications Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in several areas: machine learning, statistics, deep learning, natural language processing, or information retrieval Experience in professional software development Experience using PyTorch, TensorFlow, or other machine learning frameworks EEO & Benefits
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 for more information. If the country/region you’re applying in isn’t 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 $136,000/year in our lowest geographic market up to $223,400/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developers work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon SageMaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you. Responsibilities
As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems you take on require scientific breakthroughs. Why AWS & Culture
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate to power customers of all sizes. Inclusive Team Culture: Our employee-led affinity groups foster a culture of inclusion and embrace differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness. Mentorship & Career Growth: We provide knowledge-sharing, mentorship and career-advancing resources to help you develop. Work/Life Balance: We value work-life harmony and strive for flexibility in our working culture. Team & About the Role
This team is part of AWS Utility Computing (UC). UC provides product innovations from foundational services to newly released products that set AWS’s services apart. 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 cloud services. Qualifications
PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience 5+ years of building models for business applications Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in several areas: machine learning, statistics, deep learning, natural language processing, or information retrieval Experience in professional software development Experience using PyTorch, TensorFlow, or other machine learning frameworks EEO & Benefits
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 for more information. If the country/region you’re applying in isn’t 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 $136,000/year in our lowest geographic market up to $223,400/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr