Principal Research Scientist, AWS Applied AI Solutions
Amazon
DESCRIPTION
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 job responsibilities
- Spearhead research in Agentic AI for complex visual AI challenges
- Innovate novel approaches to efficient visual processing mechanisms for large-scale, real-world applications
- Pioneer advancements in autonomous decision-making and visual reasoning systems, pushing the boundaries of computational and data efficiency
- Define and pursue long-term, high-impact research directions that shape the future of visual AI technologies
- Provide scientific mentorship to junior researchers, fostering a culture of innovation and rigorous research methodology
- Collaborate with cross-functional teams to bridge research with practical applications, influencing the broader scientific community
A day in the life
As a Principal Research Scientist, you'll drive research in visual reasoning and generative AI, defining novel research directions while ensuring impact through practical applications. Your day-to-day work will involve developing theoretical frameworks, conducting deep technical investigations, and validating complex hypotheses through rigorous experimentation. You'll mentor junior scientists in research methodology and experimental design while collaborating with cross-functional teams to translate research insights into scalable solutions.
Your expertise and guidance will be instrumental in shaping both the technical direction of our visual AI initiatives and the development of junior research talent on the team.
About the team
Our 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.