About the job
We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences.
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
Qualifications
Minimum
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.