Knowledge Engineer

Point72

New York, NY, United States
Base: $175,000-$250,000; bonus/equity: discretiona...
On-site
Knowledge engineering standards (rdf, sparql, owl, shacl)
Master data management (mdm)
Complex entity resolution
As AI becomes pervasive, carefully designed context is key to its success, and this role will contextualize organizational data by building the enterprise knowledge graph at the core of intelligence infrastructure

Job Summary

  • As AI becomes pervasive, carefully designed context is key to its success, and this role will contextualize organizational data by building the enterprise knowledge graph at the core of intelligence infrastructure.
  • Responsibilities include integrating datasets, designing ontologies, enforcing data quality, evolving entity masters, driving entity resolution, optimizing queries, and developing AI agents and LLM pipelines.
  • Point72 offers fully-paid health care benefits, generous parental leave, wellness programs, tuition assistance, and a 401(k) savings program with an employer match.

Matching Summary

As AI becomes pervasive, carefully designed context is key to its success, and this role will contextualize organizational data by building the enterprise knowledge graph at the core of intelligence infrastructure.

Salary

Base: $175,000-$250,000; Bonus/Equity: discretionary bonus compensation; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • Knowledge engineering standards (RDF, SPARQL, OWL, SHACL)
  • Master Data Management (MDM)
  • Complex entity resolution
  • Database systems, indexing, query optimization
  • Ontology engineering methodologies
  • Enterprise knowledge graph development

Nice-to-have

  • Modern cloud architectures
  • Enterprise agile methodologies
  • Sophisticated Artificial Intelligence (AI) solutions
  • Open-source solutions

Key Requirements

  • 5+ years of experience in knowledge engineering, data engineering, or backend development
  • Deep understanding of W3C knowledge engineering standards
  • Proven experience with Master Data Management (MDM)
  • Strong proficiency in database systems
  • Applied knowledge of ontology engineering methodologies

Work Rights

Not specified

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