Knowledge Graph Architect & Ontology Lead

Rpotential; San Francisco (CA); Ibrido; USD 230.000 - 285.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Dental insurance

Vision insurance

401k plan

Paid time off

Descrizione del lavoro

r.Potential in the San Francisco Bay Area seeks a Knowledge Graph & Ontology Lead to shape the Global Labor Graph, defining the evidence model, provenance and trust for enterprise decisioning.

You will design an ontology connecting organizations, people, skills, tasks and AI agents, ensure versioned releases, and collaborate with Product, Engineering and customers to deliver trusted, scalable graph-based insights.

Competenze

• 8+ years of experience in data modeling, knowledge graphs or applied machine learning.
• Hands-on experience with entity resolution and taxonomy crosswalks across large, inconsistent sources.
• Strong hands-on ability in Python, SQL and Spark, with data pipelines and production monitoring.
• Sound judgment in ML and statistical reasoning; combine learned models with explicit structure.
• Systems thinking across business problem, data, representation and application behavior.

Mansioni

• Lead the design of an ontology connecting organizations, people, occupations, skills, tasks, decisions, AI agents, systems and outcomes.
• Turn fragmented evidence from external datasets and enterprise sources into a single model with provenance and uncertainty.
• Ensure dependable graph releases with versioned, tested builds and evaluation metrics.
• Partner with Product and Engineering so recommendations and insights can be explained in graph terms.

Conoscenze

Data modeling

Knowledge graphs

Applied ML

Ontology design

System reasoning

Communication

Strumenti

Python

SQL

Spark

Descrizione del lavoro

r.Potential in the San Francisco Bay Area seeks a Knowledge Graph & Ontology Lead to shape the Global Labor Graph, defining the evidence model, provenance and trust for enterprise decisioning.

You will design an ontology connecting organizations, people, skills, tasks and AI agents, ensure versioned releases, and collaborate with Product, Engineering and customers to deliver trusted, scalable graph-based insights.