Applied Scientist, SP Agentic Intelligence

About the Role

Amazon Seller Assistant is a GenAI-first, multi-agent system designed to revolutionize the seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business, helps them navigate selling complexities, anticipates needs, surfaces insights, resolves issues, takes actions, and facilitates growth. Amazon Seller Assistant supports millions of sellers on Amazon serving billions of customers globally. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant, partnering with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale.

Key Responsibilities

• Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of tools that empower Amazon's Selling Partners.
• Design, develop, and deploy highly innovative models to interact with Sellers and provide delightful solutions.
• Collaborate closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel, impactful features.
• Establish scalable, efficient, and 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 employ the most recent advances in ML in a fast-paced, experimental environment.

Requirements & Tech Stack

• Experience programming in Java, C++, Python, or a related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Experience implementing algorithms using both toolkits and self-developed code.

Qualifications

• Have publications at top-tier peer-reviewed conferences or journals.