AI / Machine Learning Engineer

Join Benz Technology to support an MT&E team focused on AI/ML development and analysis.

Responsibilities

• Design, develop, and evaluate machine learning models, algorithms, and approaches
• Perform modeling, testing, and evaluation of AI/ML systems and pipelines
• Assess model performance, interpret evaluation results, and recommend improvements
• Work 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, including TensorFlow, PyTorch, and scikit-learn
• Experience with model testing, validation, and performance assessment
• Strong analytical and problem-solving skills for data-driven work

Technologies

• Python
• TensorFlow
• PyTorch
• scikit-learn

Clearance & 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 applying ML to domains such as NLP or computer vision
• Background in statistical analysis or data science

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 & development budget
• 28 years in business, with engineers staying through recompetes

Role Details

• Supports a Modeling, Test & Evaluation (MT&E) team focused on AI/ML development and analysis
• Applies machine learning techniques to assess, validate, and improve models for mission-driven analytical objectives
• One of two open positions on the same team

Location, Work Arrangement, and Pay

• Fort Meade, MD (hybrid)
• Up to 16 hours/week after full acclimation and completion of telework training, subject to mission needs and leadership discretion
• $145,000–$195,000 per year