Senior TS/SCI AI Engineer – Onsite 4 days/week

Mitre Corporation

Chantilly (VA)

On-site

USD 144,000 - 215,000

Full time

14 days+

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Job summary

MITRE in Chantilly, VA, is seeking an AI/ML engineer to lead data analysis and model development for national security and mission-focused tasks. You will apply AI techniques to forecast, classify, and triage sponsor problems, build production-ready pipelines, and communicate results to stakeholders.

The role requires strong Python with HuggingFace/PyTorch, a TS/SCI clearance with poly, and on-site presence four days a week.

Qualifications

  • Typically requires a minimum of 3 years of AI experience with a relevant degree; or 2 years with a Master’s; or PhD.
  • Hands-on with fine-tuning, deploying and evaluating large language models or Agentic AI.
  • Proficient in Python and frameworks like HuggingFace, PyTorch, and MLflow.
  • Ability to learn new technologies and communicate complex concepts clearly.
  • Must hold Top Secret/SCI with Poly clearance; U.S. citizenship required.
  • On-site presence required four days per week.

Responsibilities

  • Provide technical leadership by applying data analysis and AI techniques to sponsor missions.
  • Select and evaluate AI models for forecasting, classification, and triage; tailor for production.
  • Design and implement data normalization and ETL functions for studies.
  • Define studies with hypothesis, experiment design and execution in small teams.
  • Propose approaches and prototypes to validate concepts and demonstrate value.
  • Document prototypes and study results and outline transitions to production.

Skills

AI/ML
Python
HuggingFace
PyTorch
Communication
On-site 4 days/week

Education

Bachelor's degree in relevant field
Master’s degree in AI/CS
PhD

Tools

HuggingFace
PyTorch
MLFlow
ML Ops
HPC environments

Job description

MITRE in Chantilly, VA, is seeking an AI/ML engineer to lead data analysis and model development for national security and mission-focused tasks. You will apply AI techniques to forecast, classify, and triage sponsor problems, build production-ready pipelines, and communicate results to stakeholders.

The role requires strong Python with HuggingFace/PyTorch, a TS/SCI clearance with poly, and on-site presence four days a week.

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