AI/ML Software Engineer - TS/SCI

The Opportunity

StaffRight Associates has partnered with an elite defense innovator to secure a high-caliber AI/ML Software Engineer capable of transforming complex signal intelligence data into actionable, automated insights. In this critical role, you will architect and deploy cutting-edge intelligent systems that support high-stakes Department of Defense and Intelligence Community missions. This is a rare opportunity to directly impact national security by building adaptive, self-governing analytical models that operate in highly dynamic, real-time environments.

What You’ll Do

• Architect and implement advanced artificial intelligence and machine learning architectures optimized for sophisticated intelligence parsing and tactical choice-generation.

• Engine predictive models using continuous data streams to execute anomaly detection, recognize intricate operational patterns, and classify complex, time-dependent events.

• Integrate intelligent analytical pipelines seamlessly into large-scale enterprise frameworks, balancing high-speed execution with rigorous security protocols and long-term system stability.

• Synthesize self-governing computational tools capable of processing raw data streams to extract key hidden characteristics and infer operational states with minimal user oversight.

• Collaborate with cross-functional technical leaders to design comprehensive sensor processing networks that provide clear, intelligent clarity to frontline decision-makers.

What You Bring

Absolute Requirements

• Active TS/SCI Security Clearance and valid United States citizenship (mandatory for consideration).

• Academic Pedigree: Bachelor of Science degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, Applied Mathematics, or a highly technical equivalent field.

• Professional Experience: A minimum of 1 year of professional, hands-on exposure building machine learning infrastructure (3 to 5 years of established pedigree preferred).

• Technical Mastery: Deep familiarity with model training lifecycle execution and industry-standard machine learning frame-ecosystems (such as PyTorch, TensorFlow, or scikit-learn).

• Engineering Foundation: Strong programming proficiency alongside direct application of mathematical and signal-processing analytical toolsets.

• Architecture Familiarity: Proven understanding of advanced deep learning mechanics, neural networks, transformer frameworks, and attention-based mechanisms.

• Operational Discipline: Comprehensive knowledge of MLOps methodologies, automated data ingestion pipelines, and rigorous validation/testing frameworks.

Highly Advantageous Capabilities

• Exposure to foundational radio-frequency machine learning (RFML) or traditional digital signal processing.

• Familiarity training Large Language Models, refining prompt structures, or building advanced multi-modal agent frameworks utilizing RAG, Chain-of-Thought, or multi-agent reinforcement learning.

• Hands-on proficiency containerizing applications utilizing Docker or Kubernetes, alongside deployment experience across cloud platforms like AWS Bedrock, Azure OpenAI, or Google Vertex AI.

• Mastery of low-latency model serving, real-time inference optimization, A/B testing, and continuous model performance telemetry.

• Insight into adversarial AI defense, graph neural networks for network topology analysis, or an established track record of shipping end-to-end ML applications to production.

Joining StaffRight Associates

When you partner with StaffRight Associates in your search for your next role, you’re doing more than pursuing a job, you’re aligning yourself with a team of experts committed to placing top-tier talent in truly impactful positions. We take pride in fostering professional growth and connecting forward-thinking individuals with organizations that value innovation and excellence. We look forward to showcasing your expertise in a way that resonates with our clients and opens the door to meaningful opportunities.