Applied Scientist, Alexa Connections
Core
Research, develop, and deploy language intelligence for Alexa Connections to build a smart communication agent that understands intent, context, and relationships across calls, text, and email.
Role type
Applied Scientist (LLM/NLP)
Builds
LLM-powered communication features for millions of users
Domain
Consumer AI / Conversational AI / NLP
Deliverable
production ML models
Required skills
Large language models, instruction-tuning, in-context learning, retrieval-augmented generation (RAG), named entity recognition, intent detection, coreference resolution, multilingual NLP, noisy text processing, model fine-tuning, alignment, evaluation frameworks
Preferred skills
Speech recognition, machine translation, dialogue systems, commercial speech products, government speech projects, summarization
Technologies
Java, C++, Python
Responsibilities
Reframe classic NLP tasks as LLM-native tasks, build agentic capabilities for multi-turn conversations, optimize foundation models for real-world communication data, partner with engineering to ship features, define evaluation frameworks for quality and latency
Seniority
Senior, hands-on IC