What are the responsibilities and job description for the AI/ML Software Engineer - TS/SCI position at StaffRight Associates, LLC?
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.
Salary : $135,000 - $180,000