The CATALST NLP Services team within the Selling Partner Services (SPS) Core Services organization is responsible for simplifying multi-lingual experiences for our customers. We build and leverage various AI services to eliminate language barriers at scale through Machine Translation for Amazon Customers and Sellers WW across 30+ programs within SPS and customers outside of SPS. We leverage state-of-the-art NLP solutions including Large Language Models, Machine Translation, Language Detection, and OCR to provide a full suite of content analysis capabilities. Our customers include Selling Partners, Buyers, Amazon Associates, Amazon Investigators, and various Science teams.

In this role, you will be a key owner within our cross-disciplinary team that includes Product Managers, Software Engineers, and Applied Scientists and execute on our 3 Year Plan. You will collaborate closely with Software Engineers from other teams to help deliver multi-lingual experience. This includes working with front-end engineers across Paragon Case Management System, data engineers building data pipelines and Science/ML teams leveraging our NLP capabilities. We use a variety of technologies and platforms including: Java, Python, TypeScript, AWS ML/AI solutions, AWS Compute & Storage solution.

Key job responsibilities
As an experienced Software Development Engineer, you will help drive global expansion of our applications and services by partnering with other technical teams to integrate our content analysis capabilities, leading the development of new NLP offerings and improvements, and collaborating with your peers to improve our system through the deprecation and consolidation of legacy components. You will participate in the design, development, implementation, testing and documentation of large-scale, multi-tiered, distributed software applications, tools, systems and services using Java, Object Oriented Design and Distributed Programming. You will contribute to the team’s sprint planning cycles, design reviews, code implementation, testing and operations processes.