AI / Machine Learning Engineer

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.