Amazon Sr Applied Scientist Ads Response Prediction 

United States, California, Palo Alto 

221049789

Key job responsibilities
As a Machine Learning Applied Scientist, you will:* 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.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.