Applied Scientist, AWS Industry

Applied Scientist, AWS Industry & AutomotiveJoin to apply for the Applied Scientist, AWS Industry & Automotive role at Amazon Web Services (AWS).As part of the AWS Applied AI Solutions organization, we're 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.Key responsibilitiesDevelop a novel agentic AI framework to solve diverse visual AI challenges in the physical worldAdvance the theory and practice of multi-modal foundation models for visual understandingDesign new approaches to memory and attention mechanisms for processing continuous visual streamsCreate innovative techniques for efficient visual processing that can scale to real-world applicationsResearch new methods for autonomous decision-making based on visual inputsInvestigate approaches to reduce the computational and data requirements of visual reasoning systemsA day in the lifeAs 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. Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems.About The TeamOur research team is tackling fundamental challenges in visual reasoning that combine generative AI and agentic frameworks. We\'re 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, we\'re developing theoretical frameworks and practical techniques that advance the state-of-the-art in visual AI.QualificationsBasic QualificationsPhD, or Master\u2019s degree and 4+ years of CS, CE, ML or related field experience3+ years of building models for business application experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languagePreferred QualificationsExperience using Unix/LinuxExperience in professional software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.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. Equity, sign-on payments, and other forms of compensation may be provided as part of a total package.This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A3051827 #J-18808-Ljbffr