Applied Scientist, Alexa AI
Core
Develop and deploy state-of-the-art ML/RAG systems and conversational AI features for the Alexa voice assistant to serve millions of customers globally.
Role type
Applied Scientist (ML Research & Production)
Builds
Scalable ML models, automated training pipelines, and customer-facing conversational AI features for Alexa.
Domain
Consumer Technology / Conversational AI / Natural Language Processing
Deliverable
production ML models | product features
Required skills
Machine learning, deep learning, natural language processing, large language models, statistics, algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing, Python, Java
Preferred skills
Publications at top-tier conferences, error/deviation analysis, data pattern discovery
Technologies
Python, Java, ML frameworks
Responsibilities
Analyze customer behavior at scale and build novel metrics for personal digital assistants; implement complex ML and deep learning algorithms; build and deploy automated model training and evaluation pipelines; conduct rigorous model and data analysis through online A/B testing; take ownership of production systems including on-call responsibilities for high-severity issues.
Seniority
Senior, hands-on IC