We are looking for an exceptional applied scientist to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations.

Study and understand data engineering and analytics workflows to design the right conversational experiences

Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc.

Continuously improve models through techniques like active learning, transfer learning etc.

Optimize models for metrics like precision, recall, latency, interpretability etc.

Implement models within overall bot architecture and integrate with backend systems

Collaborate with engineers to productionize and monitor models

Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents)

Be familiar with optimizing retrievers in RAG architectures