Overview In this role, you apply machine learning to advance advertising experiences across Amazon's Sponsored Products and Brands platforms. You will work within the SPB Offsite team to connect ad tech solutions with off-store shopping experiences, shaping high-scale ML systems and data-driven decisions. The role emphasizes end-to-end model development, productionization, and experimentation to boost traffic monetization while preserving shopper experience. You'll collaborate across teams to innovate responsibly with GenAI at scale, contributing to a fast-growing, entrepreneurial advertising business.
Compensation / Benefits- health insurance (medical, dental, vision)
- 401(k) matching
- paid time off
- parential leave
- RSUs and sign-on options
- wellness and mental health support
Responsibilities- Drive end-to-end ML projects with ambiguity and scale
- Perform hands-on data analysis to derive insights for monetization and sales
- Build and productionize ML models; collaborate with software engineers for deployment
- Run A/B experiments and perform statistical analysis
- Create scalable, automated processes for large-scale data analysis and model serving
- Research new and innovative ML approaches
Key requirements- 3+ years building models for business applications
- PhD, or Master's degree and 4+ years in CS, CE, ML or related field
- Experience programming in Java, C++, Python or similar languages
- Experience in algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
- strong collaboration
- problem solving
- effective communication
- Generative AI fluency
- Understanding of large language models (LLMs), fine-tuning and prompt engineering
- Production ML deployment and model validation
