The Sponsored Products and Brands team at Amazon Ads is looking to solve complex challenges and push the boundaries of what's possible with AI, to re-imagine the advertising landscape through generative AI technologies and revolutionize how millions of customers discover products and engage with brands across Amazon.com and beyond.
Requirements
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Responsibilities
- Develop scalable and effective machine learning models and optimization strategies to solve business problems.
- Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
Other
- Work safely and cooperatively with other employees, supervisors, and staff
- Adhere to standards of excellence despite stressful conditions
- Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
- Follow all federal, state, and local laws and Company policies
- Degree requirements: PhD, or Master's degree
