Benz Technology supports mission-focused engineering teams with competitive pay and practical growth benefits. This hybrid role is based in Fort Meade, MD, working on an MT&E team focused on AI/ML development and analysis. You will have dedicated resources for learning, time off for balance, and long-term stability with a company that has been operating for 28 years.
Responsibilities
As an AI / Machine Learning Engineer, you will help design and strengthen machine learning solutions for analytical objectives. Your work will span the full model lifecycle, from development through evaluation and operational integration.
- 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
Requirements
- Hands-on experience developing and evaluating machine learning models
- Proficiency in Python and common ML frameworks such as TensorFlow, PyTorch, and scikit-learn
- Experience with model testing, validation, and performance assessment
- Strong analytical and problem-solving skills applied to data-driven tasks
Technologies
- Python
- TensorFlow
- PyTorch
- scikit-learn
Benefits
- 15% employer 401(k) with vesting day one (no match required)
- 28 paid days off per year
- $7,500 annual tuition reimbursement
- $2,500 training and development budget
- 28 years in business with a track record of keeping engineers through recompetes
Security Clearance and Citizenship
- Active TS/SCI clearance required.
- Benz Technology is unable to sponsor security clearances.
- U.S. citizenship required.
Desired Qualifications
- Experience in a government or IC modeling and evaluation environment
- Familiarity with ML pipeline orchestration and experiment tracking tools
- Experience with applied ML domains such as NLP or computer vision
- Background in statistical analysis or data science
About the Role: This position 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.
Location/Work Arrangement and Pay: Fort Meade, MD (hybrid). After full acclimation and completion of telework training, up to 16 hours/week may be available, subject to mission needs and leadership discretion. $145,000 to $195,000 per year.
