Senior Applied Scientist, Amazon One, AWS Applied AI Solutions
Senior Applied Scientist, Amazon One, AWS Applied AI Solutions
Posted on :
29-07-2025
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1 Vacancy
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Job Description
As part of the AWS Applied AI 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 day-to-day 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 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 Deep Learning Computer Vision and GenAI models using large data sets to solve real world problems Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment Do you enjoy the prospect of solving real-world problems that have not been solved at scale before Along the way youll get to use machine learning to drive significant impact.
Were seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize promote and execute innovative solutions for previously unsolved challenges. As an Applied Scientist at Amazon One you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced cross-disciplinary 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 out-of-the-box pragmatic 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
Amazon One within AWS provides innovative biometric identity solutions for customers offering seamless contactless palm-based authentication with the same on-demand scalability reliability and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial wear many hats and work in a highly collaborative environment thats more startup than big company.
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 work-life 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 employee-led 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 (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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Experience with neural deep learning methods and machine learning
- Experience programming in Java C Python or related language
- 5 years of experience in building machine learning models for business applications
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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. Dependent 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.
Are you excited about developing state-of-the-art Deep Learning Computer Vision and GenAI models using large data sets to solve real world problems Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment Do you enjoy the prospect of solving real-world problems that have not been solved at scale before Along the way youll get to use machine learning to drive significant impact.
Were seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize promote and execute innovative solutions for previously unsolved challenges. As an Applied Scientist at Amazon One you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced cross-disciplinary 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 out-of-the-box pragmatic 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
Amazon One within AWS provides innovative biometric identity solutions for customers offering seamless contactless palm-based authentication with the same on-demand scalability reliability and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial wear many hats and work in a highly collaborative environment thats more startup than big company.
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 work-life 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 employee-led 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 (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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Experience with neural deep learning methods and machine learning
- Experience programming in Java C Python or related language
- 5 years of experience in building machine learning models for business applications
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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. Dependent 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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