DESCRIPTION
Interested in Machine Learning? How about Amazon Echo, Speech and Language Understanding? We operate Amazon scale real-time, machine learning infrastructure in production and we are working hard to improve on our foundations and scale for future growth while having fun along the way. Come join us!
Alexas Machine Learning Platform provides ML building blocks to external software and hardware developers to build premier conversational experiences for millions of customers. We believe speech to be a pervasive and superior mode of interacting with automated systems and are committed to maintaining our industry-leading position in this space. Our mission is to empower all external parties to extend Alexas magical experience with innovative applications across domains. For supporting the growth of our rapidly expanding third party eco-system, we are building ML stack to offer state-of-the-art abstractions to developers, so they can deliver immersive voice experiences with ease. Our stack leverages innovative ML algorithms and datasets to build and train third party application models to achieve best-in-class accuracy and recognition rates. To accomplish this, we work closely with some of the best ML Research and Applied Scientists in the field.
Our engineers are self-motivated and customer-focused individuals with a good instinct for developing software services with forward looking APIs. These skills help us define the leading edge for elegant, super-scalable ML services for Alexa. The ideal candidate will have strong distributed systems and web services design and implementation experience. The person should have a sound understanding of the fundamentals of computer science and practical experience building large-scale distributed systems using C++/Java in a Linux/Unix environment. An ideal candidate should enjoy working on complex system software, be customer-centric, and feel passionate not only about building great software but about making that software achieve its goals as an owner of one of Amazons flagship services. If you have a flair for innovation and passion for solving some of the most challenging problems in the industry, we need you!
BASIC QUALIFICATIONS
2+ years of non-internship professional software development experience
Programming experience with at least one modern language such as Java, C++, or C including object-oriented design
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
PREFERRED QUALIFICATIONS
MS in Computer Science
Experience developing cloud software services and an understanding of design for scalability, performance and reliability.
Development experience defining, developing and maintaining REST based interfaces.
Excellence in technical communication with peers and non-technical cohorts.
Sharp analytical abilities and proven design skills.
Strong sense of ownership, urgency, and drive.
Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
By submitting your application here, you can apply once to be considered for multiple Software Engineer openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.
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 https://www.amazon.jobs/en/disability/us .
Seattle, WA
Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS) segments. It sells merchandise and content purchased for resale from third-party sellers through physical stores and online stores.
The company also manufactures and sells electronic devices, including Kindle e-readers, Fire tablets, Fire TVs, and Echo devices; provides Kindle Direct Publishing, an online service that allows independent authors and publishers to make their books available in the Kindle Store; and develops and produces media content.
In addition, it offers programs that enable sellers to sell their products on its Websites, as well as their own branded Websites; and programs that allow authors, musicians, filmmakers, skill and app developers, and others to publish and sell content. Further, the company provides compute, storage, database, and other AWS services, as well as compute, storage, database offerings, fulfillment, publishing, digital content subscriptions, advertising, and co-branded credit card agreement services.
Additionally, it offers Amazon Prime, a membership program, which provides free shipping of various items; access to streaming of movies and TV episodes; and other services. It serves consumers, sellers, developers, enterprises, and content creators. Amazon.com, Inc. has a strategic partnership with Volkswagen AG. The company was founded in 1994 and is headquartered in Seattle, Washington.