Amazon Senior Applied Scientist Video Ads Advertising Signals Insights 

United States, Texas, Austin 

367821310

Key job responsibilities
As a Senior Applied Scientist on this team you will:
Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
Run A/B experiments, gather data, and perform statistical analysis.
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
Work closely with software engineers to assist in productionizing your ML models.
Research new machine learning approaches.

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

- 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.