Applied Scientist II Amazon Q Developer Science
Applied Scientist II Amazon Q Developer Science
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
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 AIbased services for Amazon Q Developer with the focus on redefining the way developer 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 wed love to talk to you.
Key job 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 endtoend modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
This team is part of AWS Utility Computing:
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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.
About the team
The Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to reimagine all aspects of how builders create applications. We build AI products that are deployed in the IDE the AWS console and in webbased tools and services. We provide developers with AI assistants to generate code features and entire applications as well as to interact with AWS. We explore new technologies and find creative solutions produce original research and bring cutting edge innovation to our customers. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space this is the team for you.
PhD or Masters degree and 4 years of CS CE ML or related field experience
5 years of building models for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in any of the following areas: Deeplearning Generative AI and Large Language Models
Experience in professional software development
Experience using PyTorch TensorFlow or other machine learning frameworks.
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.
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 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Key job 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 endtoend modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
This team is part of AWS Utility Computing:
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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.
About the team
The Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to reimagine all aspects of how builders create applications. We build AI products that are deployed in the IDE the AWS console and in webbased tools and services. We provide developers with AI assistants to generate code features and entire applications as well as to interact with AWS. We explore new technologies and find creative solutions produce original research and bring cutting edge innovation to our customers. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space this is the team for you.
PhD or Masters degree and 4 years of CS CE ML or related field experience
5 years of building models for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in any of the following areas: Deeplearning Generative AI and Large Language Models
Experience in professional software development
Experience using PyTorch TensorFlow or other machine learning frameworks.
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.
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 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Key Skills
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