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Senior Software Development Engineer - Machine Learning

Senior Software Development Engineer - Machine Learning

Job ID 
546396
Location 
US-CA-Sunnyvale
Posted Date 
7/14/2017
Company 
Amazon Corporate LLC
Position Category 
Software Development
Recruiting Team 
..

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 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 Software Development Engineer to help build industry-leading conversational technologies and machine learning systems that customers love.


As a Senior Software Development Engineer for the Alexa team,you will build systems for all stages of knowledge distillation; from data collection, through processing and cleaning, forms of modeling and inference, to extraction and verification. You will also collaborate closely with a team of Applied Scientists with expertise in areas such as Natural Language Processing, Automated Speech Recognition and Machine Learning to develop novel algorithms and methods and connect them to our cloud based engines. Prior domain knowledge including ML, ASR, and NLU is a preferred, though not required. However, strong motivation to learn ML, ASR 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:
  • 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
  • Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules
  • Establish architectural principles, select design patterns, and mentor team members on their appropriate application

Basic Qualifications


  • Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics, or related technical field
  • 10+ years of experience making individual contributions to real-world software development
  • Experience with programming languages such as C/C++, Java, Python and open-source technologies (Apache, Hadoop)
  • Knowledge of OO design and common design patterns
  • Very strong Computer Science fundamentals in 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 with Scala, Python, Spark;
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art
  • 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