Software Development Engineer, Alexa Artificial Intelligence

Job description

DESCRIPTION

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 Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. We're looking for a Software Development Engineer to help build industry-leading conversational technologies that customers love.

As a Software Development 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 AI, NLU, ML, and Dialog Management. 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

Desired profile

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