Software Development Engineer, Alexa AI

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 Dialog Management 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 and developers love.

As a Software Development Engineer with the Alexa AI 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 other engineers to help invent, implement, and connect sophisticated algorithms to our cloud based engines. Prior domain knowledge with Artifical Intelligence (AI), Machine Learning (ML), and Natural Language Understanding (NLU) is a preferred, though not required. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns. Additional responsibilities include:
· Designing, developing and maintaining core system features, services and engines
· 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
· Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
· Experience 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
· Experience with data structures, algorithm design, problem solving, and complexity analysis
· Experience defining system architectures and exploring technical feasibility trade-offs