Amazon Senior Applied Scientist Enterprise Engineering 

United States, Washington, Seattle 

150476676

Key job responsibilities
* Lead the design, implementation, and delivery of scientifically complex solutions for AppSense, focusing on areas such as automated software discovery, intelligent cost optimization, and predictive analytics
* Develop and apply state-of-the-art machine learning models to improve software categorization, usage prediction, and anomaly detection
* Create innovative natural language processing solutions for contract analysis, optimization, and automated report generation
* Design and implement advanced recommendation systems for software stack optimization based on job roles and team compositions
* Develop reinforcement learning algorithms for automated license management, including predictive maintenance to prevent unexpected expirations or overage charges
* Develop AI-driven negotiation assistants and collaborative budgeting tools with ML-powered spend forecasting
* Create sentiment analysis models to gauge software satisfaction from user feedback and support tickets

- 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 machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience using managed ML/AI solutions
- Strong skills in problem solving, programming, and computer science fundamentals