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AI / Machine Learning Engineer

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Onsite

AI / Machine Learning Engineer

Benz Technology

AI / Machine Learning Engineer

Skills

PythonData SciencePyTorchTensorFlowMachine LearningAINLP / Natural Language Processing

11 days ago

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Important information


Salary:

$145,000 – $195,000 / year

Location:

Fort Meade, MD, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


Fort Meade, MD TS/SCI with Polygraph Full-Time Up to 16 hours/week after full acclimation and completion of telework training, subject to mission needs and leadership discretion $145,000 – $195,000 Actively hiring

Active TS/SCI clearance required. Benz Technology is unable to sponsor security clearances. U.S. citizenship required.

About the Role

This role supports a Modeling, Test & Evaluation (MT&E) team focused on AI/ML development and analysis. You will apply machine learning techniques to assess, validate, and improve models in support of mission-driven analytical objectives. This is one of two open positions on the same team.

Responsibilities

  • Design, develop, and evaluate machine learning models and algorithms
  • Conduct modeling, testing, and evaluation of AI/ML systems and pipelines
  • Analyze model performance and recommend improvements based on evaluation results
  • Collaborate with team members to integrate ML solutions into operational workflows
  • Document findings, methodologies, and model performance metrics
  • Support iterative development and testing cycles for AI/ML tools and applications

Required Qualifications

  • Hands-on experience developing and evaluating machine learning models
  • Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience with model testing, validation, and performance assessment
  • Strong analytical and problem-solving skills applied to data-driven tasks

Desired Qualifications

  • Experience in a government or IC modeling and evaluation environment
  • Familiarity with ML pipeline orchestration and experiment tracking tools
  • Experience with NLP, computer vision, or other applied ML domains
  • Background in statistical analysis or data science

Why engineers join Benz

  • 15% employer 401(k) — vested day one, no match required
  • 28 paid days off per year
  • $7,500 annual tuition reimbursement
  • $2,500 training & development budget
  • 28 years in business — our engineers stay through recompetes

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