This role involves applying Generative AI and Large Language Models to enhance advertising experiences across Amazon's platforms. The Sponsored Products and Brands team focuses on creating personalized and context-aware advertising that integrates seamlessly with organic recommendations. You will be responsible for building large-scale systems and data pipelines that improve ad retrieval and allocation. This position offers the opportunity to innovate in the advertising landscape while collaborating with a team dedicated to responsible AI technologies.

• 3+ years of non-internship professional software development experience
• 2+ years of experience in design or architecture of new and existing systems
• 1+ years of experience in designing and developing large-scale software applications using C#, C++, Java, or Perl
• 1+ years of Object Oriented Design experience
• Bachelor's degree in computer science or equivalent

• Apply Generative AI and Large Language Models to enhance ad experiences
• Design, develop, and operate large-scale distributed systems for advertising
• Build and optimize data pipelines to improve ad retrieval and allocation
• Collaborate with scientists, product managers, and engineers to deliver customer-focused solutions
• Write high-quality, maintainable code and participate in design and code reviews

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.