Machine Learning Engineer with Security Clearance

Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments. You’ll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions. What You’ll Do

• Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment - Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow - Integrate models into production systems (APIs, batch pipelines, real-time services)
• Implement model validation, evaluation metrics, and performance monitoring - Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements - Collaborate with data engineers and domain experts to prepare and validate datasets - Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments - Troubleshoot model and pipeline issues; perform root cause analysis and optimization - Contribute to technical documentation, test plans, and operational runbooks - Participate in design reviews, architecture discussions, and Agile development processes - Mentor junior engineers and promote engineering best practices Requirements
• U.S. Citizenship - Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field - 4+ years of experience in:
• Machine Learning Engineering - Applied AI/ML development - Production ML systems - Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
• Experience developing, training, and deploying ML models in real-world applications - Solid understanding of the ML lifecycle (data > training > validation > deployment > monitoring)
• Experience building maintainable, production-quality software - Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
• Experience working in Agile and CI/CD environments - Strong problem-solving, communication, and collaboration skills

Preferred Qualifications

• Master’s degree in a related field - Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
• Experience transitioning models from research to production environments - Familiarity with experiment tracking, model versioning, and reproducibility practices - Experience with GPU-based ML workflows and cloud ML platforms - Background in defense, intelligence, or other regulated environments Why Join PSG?

At PSG, you’re not just taking a job—you’re building technology that matters.

• Competitive compensation & benefits - 9/80 flexible work schedule - Professional development & tuition assistance - Small, agile team with high ownership and visibility - Work on mission-critical systems supporting national security - Opportunities to grow across AI/ML, software engineering, and platform development Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems. Salary Description

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.