What are the responsibilities and job description for the Applied Scientist, Cloud Operations Team position at Amazon Development Center U.S., Inc.?
The Automated Reasoning Group within AWS Cloud Operations is seeking an innovative Applied Scientist passionate about the convergence of Artificial Intelligence and program analysis. In this role, you will help automate the management of cloud compute resources, focusing initially on reactive, incident-driven remediation, while also paving the way for preventive measures in the long run.
At AWS, every day, countless developers rely on our services to facilitate billions of transactions worldwide. We empower these customers to build groundbreaking applications, websites, and businesses by harnessing the cloud's capabilities. By utilizing automated reasoning technology and mathematical proofs, AWS provides assurance regarding security, availability, durability, and functional correctness, which we refer to as provable security.
About the Team :
Join a dynamic team comprising automated reasoning specialists and software development engineers. Together, we create cutting-edge tools and techniques for code synthesis and analysis.
Why Choose AWS :
Amazon Web Services (AWS) stands as the most comprehensive and widely adopted cloud platform in the world. We pioneered cloud computing and continue to innovate relentlessly. Our clients, from thriving startups to Fortune 500 companies, trust our extensive suite of products and services to fuel their business growth.
Utility Computing (UC) :
As a member of the UC organization, you will contribute to the development and management of essential services such as Amazon's Simple Storage Service (S3), Amazon Elastic Compute Cloud (EC2), and a variety of innovative product offerings that keep AWS at the forefront of the industry. This includes supporting clients who need specialized security solutions for their cloud services.
Inclusive Team Culture :
At AWS, we embrace a culture of learning and curiosity. Our employee-led affinity groups promote inclusivity, empowering us to celebrate our diverse backgrounds. We host ongoing events and learning opportunities to encourage a culture that values unique perspectives.
Work / Life Balance :
We prioritize a harmonious work-life balance. We believe that achieving success at work should complement, not compromise, personal life. AWS strives to promote flexibility within our working culture.
Mentorship and Career Growth :
AWS is dedicated to continuous improvement and professional development. Our environment encourages knowledge-sharing, mentoring, and other career-advancing resources designed to foster your growth as a well-rounded professional.
Diverse Experiences :
Amazon values diverse experiences in candidates. Even if you do not fulfill every listed qualification, we encourage you to apply. If your career journey is non-traditional or includes alternative experiences, don’t hesitate to take this opportunity.
BASIC QUALIFICATIONS
- PhD or Master's degree
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Proficiency in programming languages such as Java, C , Python or similar
- 3 years of experience in building models for business applications
- Knowledge in areas like algorithms and data structures, parsing, numerical optimization, data mining, and high-performance computing
PREFERRED QUALIFICATIONS
Amazon is an equal opportunity employer, committed to a diverse and inclusive workplace. We do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit the appropriate Amazon disability resource page.
