Overview In this role, you will lead the development of generative AI solutions for ad allocation and ranking on Amazon search pages, shaping how ads match customer intent. You will work with cross-functional teams to scale GenAI systems and drive impactful improvements in ads performance. The role combines research leadership with practical deployment at massive scale, balancing latency and effectiveness. You will publish findings and contribute to technical documentation to advance the broader AI community. This is a chance to influence Amazon's advertising technology at a global scale and through cutting-edge AI methods.
Compensation / Benefits- health insurance (medical, dental, vision)
- 401(k) matching
- paid time off
- parential leave
- RSUs
- sign-on payments
Responsibilities- Design and develop novel generative AI architectures for real-time ad allocation at massive scale
- Lead research on large language models and multimodal AI to model semantic relationships among ads, queries, and user behavior
- Develop GenAI-based approaches for dynamic ad placement optimization while maintaining strict latency
- Collaborate with cross-functional teams to integrate GenAI into existing advertising systems
- Author research papers and technical documentation for the broader scientific community
Key requirements- PhD in Computer Science, Applied Mathematics, Statistics or related field
- 8+ years of experience applying ML to large-scale applications
- translate informal customer requirements into well-defined problems
- leadership across disciplines
- hands-on ML model building from theory to real-world applications
- Generative AI / GenAI
- Large language models (LLMs)
- Multimodal AI
