Amazon Senior Applied Scientist Automated Reasoning Group 

United States, Texas, Austin 

797083426

The Automated Reasoning Group in AWS Utility Computing is looking for a Senior Applied Scientist with experience in building scalable automated reasoning solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. You will apply your knowledge to propose solutions, create software prototypes, and develop prototypes into production systems using software development tools. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You have demonstrated leadership in automated reasoning positions in industry or academia, strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment.
Key job responsibilities
As a Senior Applied Scientist, you will help shape the definition and vision for applied science across teams within AWS. We have a diverse portfolio of projects that target protocol, code, and hardware verification, and leadership opportunities exist for:- Advance automated code-level reasoning and invariant synthesis and proof repair for cloud-scale web services.
- Build new engines and extending foundational proof engines that apply to distributed systems.
- Researching the application of automated reasoning to novel software applications.
- Building automated reasoning solutions for critical AWS DSLs for architectural configuration, migration, code generation, and other areas.
- Improving integration and user experience of tools to support large-scale adoption and use of automated reasoning techniques.
You will work in an agile, startup-like development environment, where you are always working on the most important things, and you will design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
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
Utility Computing (UC)

- 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.