Senior Applied Scientist
Core
Design, develop, and optimize production NLP and LLM-based AI solutions (RAG, semantic search, agentic systems) for enterprise users.
Role type
Senior Applied Scientist (NLP)
Builds
Language technologies at the core of AI products, including retrieval systems and agentic workflows.
Domain
Enterprise AI, Natural Language Processing, Information Retrieval
Deliverable
production ML models
Required skills
NLP, LLM evaluation, Python, cloud ML infrastructure (AWS/Azure/GCP), transformer models, agentic system design, data governance
Preferred skills
Agentic systems (tool use, orchestration), classical IR, safety and trust in enterprise AI, international work experience
Technologies
HuggingFace, Pandas, Polars, MLFlow, AWS, Azure, GCP
Responsibilities
Design and implement language-based AI solutions; apply and serve transformer models at scale; collaborate with ML platform teams; mentor junior scientists; share innovations via technical content.
Seniority
Senior, hands-on IC