Sr. Applied Scientist, Alexa Enterprise
Core
Set scientific direction and lead development of techniques to improve speech-to-text accuracy and optimize end-to-end audio pipelines for enterprise customers.
Role type
Senior Applied Scientist (Speech & Audio ML)
Builds
AI-powered speech and audio solutions for enterprise clients in healthcare, energy, retail, and insurance
Domain
Enterprise AI, Speech Processing, Audio Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning, Speech and audio processing, Model evaluation and selection, Fine-tuning, Real-time inference optimization, Data and evaluation strategy, Java/C++/Python programming
Preferred skills
Leading a science team, Generative models, Speech enhancement, Source separation, Voice-processing techniques (beamforming, acoustic echo cancellation, noise reduction), Patents or publications at top-tier conferences
Technologies
Java, C++, Python, Neural deep learning frameworks
Responsibilities
Set scientific direction for speech-to-text accuracy, Lead model evaluation and fine-tuning, Drive performance optimization of audio pipelines, Define datasets and evaluation methodologies, Optimize models for real-time operation, Collaborate with customers to validate improvements, Influence teams to productionize models, Mentor scientists and engineers
Seniority
Senior, hands-on IC with leadership responsibilities