The Ad Response Prediction team at Amazon Ads is focused on building machine learning systems that enhance ad relevance across Amazon's platforms. This role involves leading the architectural direction of ML infrastructure, particularly for large-scale training and real-time inference systems. The team is at the forefront of integrating generative AI technologies into advertising, aiming to transform how customers discover products. The position requires collaboration with applied scientists to ensure models perform reliably at scale while mentoring engineers in ML infrastructure best practices.

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience with at least one software programming language
• 5+ years of experience leading design or architecture of new and existing systems
• Experience as a mentor, tech lead, or leading an engineering team
• 5+ years of experience in the full software development life cycle, including coding standards and operations
• Bachelor's degree in computer science or equivalent

• Lead the development of LLM inference infrastructure for next-generation GenAI workloads at Amazon Ads scale
• Own the architectural direction of large-scale ML training and real-time inference systems
• Partner with applied scientists to design and optimize end-to-end ML pipelines
• Influence technical direction beyond your team by establishing ML infrastructure best practices
• Make principled tradeoff decisions on complex problems in a fast-moving GenAI space
• Mentor engineers across the team and serve as a technical resource for ML infrastructure expertise

• 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.