Applied Scientist, Amazon

Job summary
Science at Amazon enables new customer experiences and addresses existing customer challenges whenever there is limited or no existing prior art. It complements the company’s engineering and product disciplines, and is critical to all Amazon businesses focused on delivering increased customer value.

You will have the opportunity to work with a variety of leading technologies and you will help shape the future of Amazon by investigating new approaches to provide the experience for customers. Amazon is a place where we use science and engineering to solve problems. We're looking for scientists and engineers who can delight customers by continually learning and inventing. From day one, you'll be working with experienced engineers, machine learning experts and other applied scientists who love what they do.



Key job responsibilities
We are looking for Applied Scientiststo join us and lead development of new algorithms and solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. You will apply your deep science knowledge to concrete problems that have broad cross-organizational, global, and technology impact. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You consistently bring strong, data-driven business and technical judgment to decisions. As a technologist, you will also drive publications of original work in top-tier conferences. We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems.

Basic Qualifications

· PhD or Master plus experience in Computer Science, Machine Learning or related field
· Excellent coding and design skills, proficiency with programming languages such as C/C++, Java, or Python

Preferred Qualifications

· Peer-reviewed scientific contributions in premier journals and conferences
· Experience with defining research and development practices in an applied environment
· Technical writing, verbal communication, and cross discipline collaboration skills