Staff Applied Scientist

📋 Description

• Design, build, and maintain production-grade knowledge graphs that transform unstructured content
• Develop and deploy LLM-powered agents and agentic retrieval systems capable of finding, validating
• Establish robust evaluation frameworks and quality metrics to measure model performance and
• Apply advanced machine learning, natural language processing, retrieval-augmented generation (RAG)
• Set technical direction for applied science initiatives, evaluate emerging technologies, and make
• Partner with Product, Engineering, and AI teams to translate research findings into practical

🎯 Requirements

• At least 8 years of experience applying machine learning techniques in production environments
• Strong knowledge of natural language processing, large language models, and retrieval-augmented
• At least 3 years of experience building and deploying production knowledge graphs, including
• Practical experience with graph databases such as Neo4j and graph query languages such as Cypher.
• At least 3 years of experience building production-grade LLM-based agents, including planning, tool
• Proven ability to design meaningful evaluation methodologies, define performance metrics, and use

🎁 Benefits

• Remote Work Flexibility
• Work-Life and Collaboration Structure
• Professional Development
• Manager Support and Career Growth
• Remote Work Equipment
• Home Office Support