Amazon
Applied Scientist II, AWS Applied AI Solutions, Visual Reasoning & Agentic AI
Amazon, Cupertino, California, United States, 95014
Overview
Applied Scientist II, AWS Applied AI Solutions, Visual Reasoning & Agentic AI As part of the AWS Applied AI Solutions organization, werevent advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries. The Team
Our research team is tackling fundamental challenges in visual reasoning that combine generative AI and agentic frameworks. Were investigating novel approaches to how AI systems understand spatial relationships, reason about object interactions, and maintain contextual awareness across time. Working at the intersection of computer vision and large language models, were developing theoretical frameworks and practical techniques that advance the state-of-the-art in visual AI. Responsibilities
Develop a novel agentic AI framework to solve diverse visual AI challenges in the physical world Advance the theory and practice of multi-modal foundation models for visual understanding Design new approaches to memory and attention mechanisms for processing continuous visual streams Create innovative techniques for efficient visual processing that can scale to real-world applications Research new methods for autonomous decision-making based on visual inputs Investigate approaches to reduce the computational and data requirements of visual reasoning systems A Day in the Life
As an Applied Scientist, you\'ll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You\'ll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You\'ll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology. About the Team
AWS Solutions As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon\'s 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 Amazon\'s 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. About AWS Qualifications
BASIC QUALIFICATIONS
PhD in Computer Science, Machine Learning, or related field (or MS with equivalent research experience) Track record of publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on visual reasoning, scene understanding, or visual-language models Strong background in computer vision, deep learning, and multi-modal foundation models Experience with PyTorch or other deep learning frameworks Demonstrated ability to transform research ideas into practical implementations PREFERRED QUALIFICATIONS
Deep knowledge of large multimodal models, fine-tuning techniques, and agentic frameworks, particularly in computer vision Experience with large-scale model training and optimization Background in cognitive science or computational neuroscience relating to visual processing Contributions to open-source AI projects or research frameworks Experience mentoring junior researchers and collaborating with engineering teams Strong track record of turning research breakthroughs into practical applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Applied Scientist II, AWS Applied AI Solutions, Visual Reasoning & Agentic AI As part of the AWS Applied AI Solutions organization, werevent advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries. The Team
Our research team is tackling fundamental challenges in visual reasoning that combine generative AI and agentic frameworks. Were investigating novel approaches to how AI systems understand spatial relationships, reason about object interactions, and maintain contextual awareness across time. Working at the intersection of computer vision and large language models, were developing theoretical frameworks and practical techniques that advance the state-of-the-art in visual AI. Responsibilities
Develop a novel agentic AI framework to solve diverse visual AI challenges in the physical world Advance the theory and practice of multi-modal foundation models for visual understanding Design new approaches to memory and attention mechanisms for processing continuous visual streams Create innovative techniques for efficient visual processing that can scale to real-world applications Research new methods for autonomous decision-making based on visual inputs Investigate approaches to reduce the computational and data requirements of visual reasoning systems A Day in the Life
As an Applied Scientist, you\'ll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You\'ll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You\'ll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology. About the Team
AWS Solutions As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon\'s 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 Amazon\'s 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. About AWS Qualifications
BASIC QUALIFICATIONS
PhD in Computer Science, Machine Learning, or related field (or MS with equivalent research experience) Track record of publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on visual reasoning, scene understanding, or visual-language models Strong background in computer vision, deep learning, and multi-modal foundation models Experience with PyTorch or other deep learning frameworks Demonstrated ability to transform research ideas into practical implementations PREFERRED QUALIFICATIONS
Deep knowledge of large multimodal models, fine-tuning techniques, and agentic frameworks, particularly in computer vision Experience with large-scale model training and optimization Background in cognitive science or computational neuroscience relating to visual processing Contributions to open-source AI projects or research frameworks Experience mentoring junior researchers and collaborating with engineering teams Strong track record of turning research breakthroughs into practical applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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