Do you get excited about working on scientific problems that will have a large, significant and lasting impact for Amazon customers? Are you interested in data compression and machine learning? Are you thrilled about working in a startup-like environment? Search no more! We have an opening for an Applied Scientist in Amazon S3.
As an Applied Scientist, you will be driving prototypes, projects and solutions in the fields of data compression and information coding. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact for AWS customers. Your ideas will have a fast path to production at scale and help us reshape the way we think about data storage and content delivery at Amazon.
Research areas our team is excited about include but are not limited to:
· General purpose and domain-specific data compression
· Information coding and data redundancy
· Performance-preserving inline compression methods
Our team works together to provide work/life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.
Upon joining S3, every employee is paired with a peer buddy who will help you to quickly come up to speed in understanding the technology we’re building, the tools we use and the business problems we’re trying to solve. We hire exceptional people and we recognize the importance of coaching others. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, and job level. On our internal “Broadcast” video streaming website, you’ll find countless presentations by some of the brightest minds in computing discussing solutions to many of the exciting problems we’re solving in AWS today with new live-streaming videos added every week.
We have a diverse team and drive towards an inclusive culture and work environment. Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Our team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network (BEN), Amazon Women in Engineering (AWE) and Glamazon (our LGBTQ+ community).
US EEO: Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of 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, visit US Disability Accommodations.
· Progress towards a completed PhD in Computer Science, Mathematics, Physics, Statistics or any other field with strong quantitative focus
· Programming experience with at least one modern language such as Java, C++, Python, or C# including object-oriented design
· 1+ year experience in transforming theoretical concepts into consumer products
· Proven written and verbal communication skills in English
· Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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 https://www.amazon.jobs/en/disability/us