Senior Process Engineer to lead AI-driven engineering initiatives in the Compliance domain, focusing on designing, building, and operating AI-powered solutions to improve Seller compliance outcomes and operational efficiency. Requires deep hands-on expertise in AI/ML development, building/deploying/scaling production AI systems, designing architectures, building ML models and data pipelines, and driving technical collaboration. Experience with Python, cloud platforms (AWS), and ML operations is essential.

The Applied Scientist Intern will work on improving Amazon's product search service by designing and integrating machine learning models using TB-scale data. The role involves balancing business metrics and response times, and requires a PhD student in Computer Science, AI, ML, or related fields with experience in ML experiment design, statistical analysis, and coding.