About the Role

The Applied Scientist role focuses on leveraging Large Language Models and Generative AI to enhance Amazon's product catalog data quality and completeness. You will design and implement LLM-based solutions, conduct experiments, and collaborate with engineering teams to deploy models at scale.

Key Responsibilities

• Design and implement LLM-based solutions to improve catalog data quality and completeness
• Conduct experiments and A/B tests to validate model improvements and measure business impact
• Optimize large language models for quality and cost on catalog-specific tasks
• Collaborate with engineering teams to deploy models at scale serving billions of products

Required Skills & Qualifications

Must Have:

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow

Nice to Have:

• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience with Large Language Model (LLM) and Foundational Model fine-tuning, or reinforcement learning techniques

Benefits & Perks

• Medical benefits
• Financial benefits
• Equity and sign-on payments possible