Amazon Senior Applied Scientist Enterprise Engineering 

United States, Washington, Seattle 

326925484

Key job responsibilities
* Map business requirements and customer needs to a scientific problem.
* Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.
* Research, design and implement scalable machine learning (ML), natural language, or computational models to solve problems that matter to our customers in an iterative fashion.
* Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity.
* Contribute to build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
* Work closely with software engineering teams to deploy your innovations.
* Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.

- 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
- Research expertise in computer vision 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