Principal Applied Scientist (AI for Enterprise Apps), AWS Supply Chain
Principal Applied Scientist (AI for Enterprise Apps), AWS Supply Chain
Posted on :
23-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 179000 - 309400
Vacancy
1 Vacancy
Posted on :
23-05-2025
Job Description
As part of the AWS Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage daytoday operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons realworld experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are nobrainers to buy and easy to use.
Are you excited about developing stateoftheart GenAI/Agentic AI based solutions for enterprise applications Do you have proven analytical capabilities and can multitask and thrive in a fastpaced environment You enjoy the prospect of solving realworld problems that quite frankly have not been solved at scale anywhere before. Along the way youll get opportunities to be a disruptor prolific innovator and a reputed problem solversomeone who truly enables machine learning to create significant impacts.
Were seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize promote and execute advanced solutions for previously unsolved challenges. As an Applied Scientist at AWS Supply Chain you will bring AI advancements to customer facing enterprise applications. You will be working in a fastpaced crossdisciplinary team of researchers who are leaders in the field. You will take on challenging problems distill real requirements and then deliver solutions that either leverage existing academic and industrial research or utilize your own outofthebox pragmatic thinking. In addition to coming up with novel solutions and prototypes you may even need to deliver these to production in customer facing products.
About the team
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.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
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.
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 and 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.
PhD in one of the following disciplines: Computer Science Machine Learning Statistics Applied Math or a related quantitative field
8 years of relevant broad research experience after PhD
Publications at toptier peerreviewed conferences or journals in one of these areas: reinforcement learning deep learning and machine learning
Fluency in Python SQL or similar scripting languages
Strong algorithm development experience
Depth and breadth in stateoftheart machine learning technologies
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Experience programming in Java C or related language
Experience in building machine learning models for business application
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 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 $179000/year in our lowest geographic market up to $309400/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.
Are you excited about developing stateoftheart GenAI/Agentic AI based solutions for enterprise applications Do you have proven analytical capabilities and can multitask and thrive in a fastpaced environment You enjoy the prospect of solving realworld problems that quite frankly have not been solved at scale anywhere before. Along the way youll get opportunities to be a disruptor prolific innovator and a reputed problem solversomeone who truly enables machine learning to create significant impacts.
Were seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize promote and execute advanced solutions for previously unsolved challenges. As an Applied Scientist at AWS Supply Chain you will bring AI advancements to customer facing enterprise applications. You will be working in a fastpaced crossdisciplinary team of researchers who are leaders in the field. You will take on challenging problems distill real requirements and then deliver solutions that either leverage existing academic and industrial research or utilize your own outofthebox pragmatic thinking. In addition to coming up with novel solutions and prototypes you may even need to deliver these to production in customer facing products.
About the team
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.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
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.
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 and 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.
PhD in one of the following disciplines: Computer Science Machine Learning Statistics Applied Math or a related quantitative field
8 years of relevant broad research experience after PhD
Publications at toptier peerreviewed conferences or journals in one of these areas: reinforcement learning deep learning and machine learning
Fluency in Python SQL or similar scripting languages
Strong algorithm development experience
Depth and breadth in stateoftheart machine learning technologies
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Experience programming in Java C or related language
Experience in building machine learning models for business application
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 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 $179000/year in our lowest geographic market up to $309400/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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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