Senior Taxonomist

GEICO

Bethesda, MD, USA
Base: $110,000.00 - $230,000.00; bonus/equity: not...
Hybrid
Enterprise-wide taxonomies and metadata
Structure training datasets for ml
Enhance search powered by taxonomy
This role is pivotal in structuring the data and language that powers our machine learning (ML) models, generative AI (GenAI) applications, NLP use cases, and enterprise knowledge graphs

Job Summary

  • This role is pivotal in structuring the data and language that powers our machine learning (ML) models, generative AI (GenAI) applications, NLP use cases, and enterprise knowledge graphs.
  • You will partner closely with Engineering, Product, Business owners and AI teams to ensure content is structured, organized, and compliant across its lifecycle.
  • We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.

Matching Summary

This role is pivotal in structuring the data and language that powers our machine learning (ML) models, generative AI (GenAI) applications, NLP use cases, and enterprise knowledge graphs.

Salary

Base: $110,000.00 - $230,000.00; Bonus/Equity: Not specified; Benefits: Comprehensive Total Rewards program, 401K with 6% match, tuition assistance, mental healthcare, fertility/adoption assistance

Skills & Requirements

Must-have

  • Enterprise-wide taxonomies and metadata
  • Structure training datasets for ML
  • Enhance search powered by taxonomy
  • Data annotation and labeling standards
  • Taxonomy governance and communication
  • Align taxonomy with ontology
  • Implement SKOS standards

Nice-to-have

  • Bridge business semantics and machine requirements
  • Drive common understanding and language
  • Accelerate context management and agentic AI
  • Foster inclusive culture of shared success
  • Personalized development programs

Key Requirements

  • 5+ years taxonomy and controlled vocabularies
  • Bachelor's or master's degree
  • Proficiency in Python, SQL
  • Experience with graph databases
  • Experience with data science/ML teams
  • Experience supporting AI/ML applications
  • Deep knowledge of SKOS

Work Rights

Not specified

Tailored Resume

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