Research Engineer

US-CA-Palo Alto
3 months ago
Job ID
Amazon Corporate LLC
Position Category
Software Development

Job Description

Amazon AI enables Amazon's different Business Units as well as external customers wit tools, platforms and technologies in the field of AI. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), Audio Signal Processing, Machine Translation (MT) and other areas in Human Language Technology (HLT), in order to provide the best-possible experience for our customers. We’re looking for a Research Engineer to help build industry-leading technologies that customers love.

As a Research Engineer for the Amazon 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 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, ASR, MT 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

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, Python and open-source technologies (Apache, Hadoop)
  • Experience with OO design and common design pattern
  • Experience with fundamentals in Machine Learning and Deep Learning
  • Knowledge with data structures, algorithm design, problem solving, and complexity analysis
  • Experience defining system architectures and exploring technical feasibility trade-offs

Preferred Qualifications

  • Experience developing cloud software services and an understanding of design for scalability, performance and reliability
  • 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
  • Experience with application of ML and DL in particular in human language technology and/or computer vision
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