• AI Research/Software Development Engineer, Alexa Artificial Intelligence

    Location US-CA-Sunnyvale
    Posted Date 7 months ago(5/29/2018 11:25 AM)
    Job ID
    Company/Location (search) : Country (Full Name)
    United States
  • Job 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 Senior Research Engineer to help build industry-leading conversational technologies that customers love.

    As a Senior Research Engineer with 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 hands-on research experience and 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:
    • Leading the development and maintenance of 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
    • Establish architectural principles, select design patterns, and mentor team members on their appropriate application
    • 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 Science, Mathematics, or related technical field
    • At least 5 years of experience making individual contributions to real-world software development
    • Experience with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop)
    • Knowledge of OO design and common design patterns
    • Experience with data structures, algorithm design, problem solving, and complexity analysis
    • Experience defining system architectures and exploring technical feasibility trade-offs
    • Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements

    Preferred Qualifications

    • Experience developing cloud software services and an understanding of design for scalability, performance and reliability
    • Proven track record of innovation in creating novel algorithms and advancing the state of the art
    • Experience optimizing for short term execution while planning for long term technical capabilities
    • Ability to rapidly prototype and evaluate applications and interaction methodologies
    • Ability to produce bullet-proof 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
    • Strong project management experience, working on cross-functional projects
    • Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
    • Demonstrated ability to mentor other engineers to maintain architectural vision and software quality

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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