PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
2+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Experience in designing experiments and statistical analysis of results
Experience in professional software development
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, MA, Boston - 142,800.00 - 193,200.00 USD annually
Additional Information
The Alexa Edge AI team is looking for a passionate, talented, and innovative applied scientist with a strong background in deep learning and speech processing techniques. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of an industry-leading product used every day by people you know. As an Applied Scientist, you will leverage Amazon's heterogeneous data sources and large-scale computing resources to develop novel machine learning algorithms to advance the state of the art in speech and audio processing.
Key job responsibilities
- Conduct applied research project(s) effectively and know when to ask for help and when to work independently
- Engage with an experienced cross-disciplinary staff to conceive and design innovative solutions for consumer products.
- Actively participate and contribute to research activities including publications and patents
- Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test.
- Be proactive, flexible and able to succeed within an open collaborative peer environment
Amazon.com · Boston, MA