Job Description

As a software development engineer for 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 including AI, ML, and NLU is a preferred, though not required. However, strong motivation to learn ML, AI and NLU is critical for successful candidates. 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

BASIC QUALIFICATIONS
2 years of non-internship professional software development experience
1 years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
Programming experience with at least one software programming language.

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related technical field
2 year experience with programming languages such as Java, C/C , Perl or Python and open-source technologies (Apache, Hadoop)
1 year experience with OO design and common design pattern
1 year experience with data structures, algorithm design, problem solving, and complexity analysis

PREFERRED QUALIFICATIONS
Graduate degree (MS or PhD) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related technical field
Experience developing cloud software services and an understanding of design for scalability, performance and reliability
Experience defining system architectures and exploring technical feasibility trade-offs
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
Academic and/or industry experience with standard AI and ML techniques, NLU 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
Education: Any Graduate
Industry: Consumer Durables/FMCG, Warehousing

Skills Required