Applied Scientist, Alexa Enterprise
Core
Develop and apply scientific techniques to improve speech-to-text accuracy and optimize end-to-end audio pipelines for enterprise customers.
Role type
Applied Scientist (Speech & Audio ML)
Builds
AI-powered speech and audio solutions for enterprise clients
Domain
Enterprise AI, Speech Processing, Audio Machine Learning
Deliverable
production ML models
Required skills
Speech and audio machine learning, Model evaluation and selection, Fine-tuning, Data and evaluation strategy, Real-time inference optimization, Distributed computing, Numerical optimization
Preferred skills
Generative models, Speech enhancement, Source separation, Voice-processing techniques (beamforming, AEC, noise reduction), Low-latency production optimization
Technologies
Java, C++, Python
Responsibilities
Develop modeling techniques for domain-specific speech-to-text use cases, Evaluate and adapt speech/audio models based on accuracy and latency constraints, Improve performance of end-to-end audio pipelines, Design datasets and evaluation methodologies, Optimize models for real-time operation, Collaborate with engineers to productionize models, Write technical documents and communicate results
Seniority
Senior, hands-on IC