Amazon Senior Applied Scientist Fleet Automation Release Orchestration FAROS 

United States, Washington, Seattle 

331321235

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
A day in the life
You must ensure our solutions meet the needs of our most important customers. You will work with customers to gather requirements, understand the space and impact, generate and test end-to-end proposals to carry the project through all the development stages. You’ll develop algorithms that enable Network Engineers to develop, monitor and operate robust, high-quality networks safely, securely, and reliably deploy it. You will have an opportunity to work directly with complex and high volume data and models to analyze network performance intelligently. You will use your strong leadership and communication skills to educate other team members, provide training and support for our products/models/technologies. You will have access to senior leadership and engineering staff.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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.