Applied Scientist, Amazon Selection and Catalog Systems
Amazon
DESCRIPTION
We are seeking an Applied Scientist II to join our team in developing pioneering Generative AI, Agentic AI, Large Language Models (LLMs), and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the Items and Relationships Intelligence Solutions team. This role offers a unique opportunity to work on AI products that will shape the future of online shopping experiences.
Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As an Applied Scientist II, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation.
Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store.
Key job responsibilities
- Design and implement novel AI solutions for Amazon catalog of products
- Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models
- Build and deploy autonomous AI Agents in Amazon production ecosystem
- Scale AI models to handle billions of diverse products across multiple languages and geographies
- Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models, Reinforcement Learning
- Collaborate with cross-functional teams to integrate AI models into Amazon's production ecosystem
- Contribute to the scientific community through publications and conference presentations