Senior Applied Scientist , Alexa AI Aurora
Core
Design and implement scalable conversational AI solutions using LLMs, NLP, and generative AI to power Alexa's core infrastructure and serve millions of customers.
Role type
Senior Applied Scientist (Generative AI & Conversational AI)
Builds
Scalable agentic systems, conversation modeling primitives, and automated quality assurance frameworks for Alexa.
Domain
Consumer Technology / Conversational AI / Generative AI
Deliverable
production ML models
Required skills
Machine learning model development, neural deep learning methods, Python/C++/Java programming, agentic system architecture, evaluation framework design, research-to-production deployment, scientific roadmap definition, high-impact publication generation
Preferred skills
Large scale distributed systems (Hadoop, Spark), speech recognition, machine translation, natural language processing systems, generative AI tools and agentic prompting
Technologies
LLM, NLP, Generative AI, Hadoop, Spark, Python, C++, Java
Responsibilities
Define science roadmap for conversation modeling and content generation; Architect agentic systems balancing quality, latency, and cost; Establish evaluation frameworks and success criteria; Own end-to-end delivery of complex research initiatives from formulation to production; Identify whitespace opportunities in AI/ML advances; Drive development of scalable agentic systems for conversation understanding; Set scientific and engineering standards for the team; Solve complex technical problems with customer focus; Advance team reputation through publications and patents.
Seniority
Senior, hands-on IC with mentorship responsibilities
