Applied Scientist Learned Systems Group
Applied Scientist Learned Systems Group
Posted on :
02-05-2025
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1 Vacancy
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Job Description
Are you a PhD candidate or graduate interested in a 2025 fulltime role in the field of Applied Sciences Are you interested in machine learning deep learning automated reasoning speech robotics computer vision optimization or quantum computing If so we want to hear from you! We are looking for scientists with an interest in using a variety of domain expertise to invent design and implement stateoftheart solutions for neverbeforesolved problems.
AWS is looking for world class scientists to join The Learned Systems Group to broadly apply machine learning and foundational models to database system problems. Within the Learned Systems Group you will invent implement and deploy state of machine learning techniques to make our data systems easier to use or to improve its efficiency. Potential projects include but are not limited to Amazon Q Generative SQL (Text2SQL and other interactive ways to work with structured data in natural language) AIdriven cluster scaling techniques cluster pool optimization or autonomics (e.g. learningenhanced storage layouts intelligent scheduling and admission control MV selection). You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and scientists.
Key job responsibilities
As an Applied Scientist you will own the design and development of endtoend AWS database experiences (using mostly C and Python). Youll have the opportunity to write technical white papers create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms models or other technical solutions whilst experiencing Amazons customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and crossfunctional teams to solve complex business problems.
A day in the life
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. Within AWS UC Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
About AWS
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
About the team
We are focused on innovative ML for systems initiatives in the database area; for a list of publications please take a look at Are enrolled in or have completed a PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
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 with relational database internals (i.e. query scheduling performance optimization)
Experience using Unix/Linux
Experience in professional software development
Experience building machine learning models or developing algorithms for business application
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
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.
AWS is looking for world class scientists to join The Learned Systems Group to broadly apply machine learning and foundational models to database system problems. Within the Learned Systems Group you will invent implement and deploy state of machine learning techniques to make our data systems easier to use or to improve its efficiency. Potential projects include but are not limited to Amazon Q Generative SQL (Text2SQL and other interactive ways to work with structured data in natural language) AIdriven cluster scaling techniques cluster pool optimization or autonomics (e.g. learningenhanced storage layouts intelligent scheduling and admission control MV selection). You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and scientists.
Key job responsibilities
As an Applied Scientist you will own the design and development of endtoend AWS database experiences (using mostly C and Python). Youll have the opportunity to write technical white papers create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms models or other technical solutions whilst experiencing Amazons customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and crossfunctional teams to solve complex business problems.
A day in the life
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. Within AWS UC Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
About AWS
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
About the team
We are focused on innovative ML for systems initiatives in the database area; for a list of publications please take a look at Are enrolled in or have completed a PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
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 with relational database internals (i.e. query scheduling performance optimization)
Experience using Unix/Linux
Experience in professional software development
Experience building machine learning models or developing algorithms for business application
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
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.
Employment Type
Full-Time
Key Skills
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