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Research Engineer, Alexa

Headquarters: Seattle, WA

Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our mission is to push the envelope in Machine Learning (ML) and Automatic Speech Recognition (ASR), in order to provide the best-possible experience for our customers. We’re looking for a Research Engineer to help build industry-leading conversational technologies that customers love.

As a Research Engineer for the Alexa team, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will also partner with scientists and platform engineers to help invent, implement, and connect sophisticated algorithms to our cloud based engines. A successful candidate should have knowledge of research domains including ML and ASR. They should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns. Additional responsibilities include:
  • Developing and maintaining core system features
  • Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product
  • Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility
  • Operate in an Agile/Scrum environment to deliver high quality software against aggressive schedules
Basic Qualifications

Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or related technical field
Familiar with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop)
Experience with OO design and common design pattern
Knowledge with data structures, algorithm design, problem solving, and complexity analysis
Experience defining system architectures and exploring technical feasibility trade-offs

Preferred Qualifications

Experience developing cloud software services and an understanding of design for scalability, performance and reliability
Experience optimizing for short term execution while planning for long term technical capabilities
Ability to prototype and evaluate applications and interaction methodologies
Ability to produce code that is fault-tolerant, efficient, and maintainable
3 Years experience with standard ML techniques, ASR, and scientific thinking
Experience working effectively with science, data processing, and software engineering teams
Ability and willingness to multi-task and learn new technologies quickly
Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation