Benz Technology
AI / Machine Learning Engineer
Skills
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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