Applied Scientist Gen AI
Posted on :
09-04-2025
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1 Vacancy
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Job Description
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.
Are you an inventive curious and driven Applied Scientist with a strong background in AI and Deep Learning Join Amazons AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision Generative AI and foundational models.
As part of the AWS Multimodal generative AI science team youll lead innovative research projects develop stateoftheart algorithms and pioneer solutions that will directly impact millions of Amazon customers. Leveraging Amazons vast computing power youll work alongside a supportive and diverse group of toptier scientists and engineers contributing to products that redefine the industry.
Key job responsibilities
* Lead research initiatives in Multimodal generative AI pushing the boundaries of model efficiency accuracy and scalability.
* Design implement and evaluate deep learning models in a production environment.
* Collaborate with crossfunctional teams to transfer research outcomes into scalable AWS services.
* Publish in toptier conferences and journals keeping Amazon at the forefront of innovation.
* Mentor and guide other scientists and engineers fostering a culture of scientific curiosity and excellence.
About the team
About AWS
Diverse Experiences
AWS 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.
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.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field 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 using Unix/Linux
Experience in professional software development
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.
Are you an inventive curious and driven Applied Scientist with a strong background in AI and Deep Learning Join Amazons AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision Generative AI and foundational models.
As part of the AWS Multimodal generative AI science team youll lead innovative research projects develop stateoftheart algorithms and pioneer solutions that will directly impact millions of Amazon customers. Leveraging Amazons vast computing power youll work alongside a supportive and diverse group of toptier scientists and engineers contributing to products that redefine the industry.
Key job responsibilities
* Lead research initiatives in Multimodal generative AI pushing the boundaries of model efficiency accuracy and scalability.
* Design implement and evaluate deep learning models in a production environment.
* Collaborate with crossfunctional teams to transfer research outcomes into scalable AWS services.
* Publish in toptier conferences and journals keeping Amazon at the forefront of innovation.
* Mentor and guide other scientists and engineers fostering a culture of scientific curiosity and excellence.
About the team
About AWS
Diverse Experiences
AWS 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.
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.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field 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 using Unix/Linux
Experience in professional software development
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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