Applied Scientist, Customer360
Core
Designing and developing AI technologies for knowledge acquisition, retrieval, and structured memory that compounds over time.
Role type
Founding Applied Scientist (Information Retrieval & LLMs)
Builds
Production retrieval systems and knowledge management frameworks for organizational-scale data
Domain
Artificial Intelligence, Information Retrieval, Knowledge Representation, Large Language Models
Deliverable
production ML models
Required skills
Knowledge extraction from unstructured data, Retrieval system design, Memory quality management, Large-scale experiment design, Evaluation framework development, Temporal knowledge management, Research publication/patenting
Preferred skills
Unix/Linux usage, Professional software development
Technologies
Java, C++, Python, Amazon compute infrastructure
Responsibilities
Design novel approaches for knowledge extraction from heterogeneous data sources, Build retrieval systems matching intent to relevant knowledge, Own memory generation quality and decay logic, Run large-scale experiments on massive datasets, Develop evaluation frameworks for knowledge quality, Collaborate with engineers to prototype-to-production, Invent approaches to temporal knowledge management, Publish and patent novel approaches
Seniority
Senior, hands-on IC & founding team member
