DESCRIPTION
Are you interested in Machine Learning? How about Alexa? Our team is building the machine learning infrastructure that developers use to build and launch conversational experiences for Alexa customers across the world. We are working hard to improve the foundational, self-serve software that supports billions of customer interactions, inventing new ways to delight our customers, and having fun along the way. Come join us!
We're looking for a senior engineer that loves working with others. In this role, you'll need to partner with folks from a variety of disciplines - science, product, engineering - to invent the software that helps Alexa scale for end customers. As a senior member of the team you will have the opportunity to dig into the nitty gritty, but also need to think strategically. You will have the opportunity to make a large impact on our technical architecture, and will need to balance forward looking opportunities with keeping our current developer customers happy.
Our engineers are self-motivated and customer-focused. Their job is to 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. 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
3+ years of programming experience with at least one modern language such as Java, C++, or C including object-oriented design
2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
4+ years of professional software development experience
PREFERRED QUALIFICATIONS
Experience building developer facing products and services
MS in Computer Science or equivalent
Excellent technical communication with peers and non-technical partners
Development experience defining, developing and maintaining REST based interfaces
Experience with speech and language understanding systems
Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices
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.