Drimva

Albert Invent

AI Knowledge Architect (Scientific Intent)

Oakland, CA · On-site · Full-time · Posted Oct 13, 2026

About the job

Defines how scientific reasoning and process narratives are represented, connected to experimental data, and made usable by AI systems in Albert OS.

What you'll do

  • Design scientific-intent ontologies and taxonomies and extend the core data model to connect reasoning with structured experimental data.
  • Partner with engineers and chemists to implement and refine knowledge structures for production, retrieval, and reasoning.
  • Develop practices for capturing scientific intent and maintaining a coherent knowledge layer.

What they ask for

  • Able to explain data-modeling tradeoffs, including entities versus attributes, schema evolution, versioning, cardinality, and composition.
  • Comfortable collaborating with engineers on schemas, graph structures, and typed relationships.
  • Scientific, industrial, or lab-adjacent background, or willingness to learn experimental science quickly.

Nice to have

  • Background in ontology, taxonomy, or knowledge representation, or interest in developing one.
  • Applied ML, numerical modeling, or large-scale data science experience.

Tools

Albert OS

AI focus

Models scientific intent and process narrative so AI systems can retrieve and reason over scientific knowledge; works with AI/ML engineers building on the graph.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)