Amazon Applied Scientist Advertising Trust 

United States, California, San Diego 

708586639

Key job responsibilities
In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of multimodal, visual and textual features requiring expertise in these domains. These models need to scale to multiple modalities, languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day.

- 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 in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience using Unix/Linux
- Experience in professional software development
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.