Senior Computational Linguist | NLP & Security R&D

umd

College Park (MD)

On-site

USD 150,000 - 180,000

Full time

12 days ago
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Job summary

University of Maryland’s Applied Research Lab for Intelligence & Security (ARLIS) seeks a Computational Linguist to advance NLP-focused research for national security applications. You will contribute to projects spanning autonomy, OSINT, cyber, and information processing, with opportunities for prototyping and deployment.

Required are a Doctoral degree and 5+ years in NLP/AI. The role involves security clearance processes, collaboration with cross-disciplinary teams, and leadership of applied

Qualifications

  • Doctoral degree in a relevant field; accredited institution.
  • 5 years of research experience.
  • Background in computational linguistics/NLP.
  • Experience with AI/ML tools and RAG pipelines, NER, sentiment analysis.
  • Experience with Python AI/ML packages (Pandas, Numpy, BeautifulSoup, scikit-learn, spaCy, transformers, PyTorch).
  • Experience leading applied research projects.

Responsibilities

  • Contribute to government-sponsored projects addressing autonomy, decision support, cyber operations, and NLP.
  • Prototyping, experimentation, and systems integration across research efforts.
  • Field deployment or pilot activities as program needs dictate.

Skills

Python NLP usage
Microsoft Office
Troubleshooting
Multi-tasking
NLP/Computational linguistics

Education

Doctoral degree in a relevant field

Tools

Pandas
Numpy
BeautifulSoup/XML parsers
scikit-learn
spaCy
transformers
PyTorch

Job description

University of Maryland’s Applied Research Lab for Intelligence & Security (ARLIS) seeks a Computational Linguist to advance NLP-focused research for national security applications. You will contribute to projects spanning autonomy, OSINT, cyber, and information processing, with opportunities for prototyping and deployment.

Required are a Doctoral degree and 5+ years in NLP/AI. The role involves security clearance processes, collaboration with cross-disciplinary teams, and leadership of applied

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