Applied Scientist, SP Agentic Intelligence

About the Role

Amazon Seller Assistant is a GenAI-first, multi-agent system designed to enhance the seller experience. The vision is to provide sellers with a proactive, autonomous assistant that understands their business, anticipates needs, surfaces insights, resolves issues, takes actions, and helps them grow. This system supports millions of sellers serving billions of customers globally. We are looking for an Applied Scientist to help define and build the next generation of Amazon Seller Assistant, launching agentic capabilities at Amazon's scale.

Key Responsibilities

• Use state-of-the-art Machine Learning and Generative AI techniques to develop tools for Amazon's Selling Partners.
• Design, develop, and deploy innovative models to interact with and delight sellers.
• Collaborate with scientists and software engineers to drive real-time model implementations and deliver impactful features.
• Establish scalable, efficient, automated processes for large-scale data analyses, model benchmarking, model validation, and model implementation.
• Research and implement novel machine learning and statistical approaches.
• Participate in strategic initiatives to leverage recent ML advances in a fast-paced, experimental environment.

Requirements & Tech Stack

• Experience programming in Java, C++, Python, or related languages.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Qualifications

• Experience implementing algorithms using both toolkits and self-developed code.
• Publications at top-tier peer-reviewed conferences or journals.