AI/ML Software Engineer (Active Clearance Required)

MRSL Real-Time Systems Laboratory • Sarasota, FL

1d

About The Position

This role involves designing, developing, and implementing AI/ML solutions for various decision-making and SIGINT processing needs. Key tasks include working with time-series data to develop models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. The engineer will collaborate with team leads to integrate AI/ML capabilities into enterprise architectures, focusing on performant processing, accuracy, security, and maintainability. This also encompasses enabling autonomous decision-making systems with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from data streams. The position supports critical Intelligence Community and Department of Defense missions by implementing tailored models for large-scale sensing systems to deliver intelligent insights. The company is seeking an engineer with a strong foundation in artificial intelligence and machine learning applications to address challenging signal processing problems, demonstrating drive, dedication, quick learning ability, and teamwork.

Requirements

• TS/SCI active clearance required.
• U.S. Citizenship required.
• BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field.
• Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred).
• Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
• Solid programming background with experience using statistical and signal analysis libraries.
• Experience with neural network architectures including deep learning models.
• Understanding of transformer architectures and attention mechanisms.
• Strong understanding of MLOps, deployment and processing pipelines, testing/validation.
• High degree of drive and dedication.
• Ability to learn quickly.
• Ability to work well within a team.
• Ability to hit the ground running.

Nice To Haves

• Understanding of digital signal processing fundamentals.
• Experience with RFML.
• Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering.
• Knowledge of AI applications for autonomous decision-making and analysis.
• Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches.
• Experience with reinforcement learning, human feedback, and related system learning methods.
• Experience creating and deploying containerized AI models with Docker/Kubernetes.
• Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI).
• Experience with model monitoring, A/B testing, and performance optimization.
• Experience with real-time inference systems and low-latency model serving.
• Knowledge of adversarial ML and AI security/robustness techniques.
• Experience with graph neural networks for network analysis.
• Experience in design, deployment, support of AI or ML model for significant real-world applications.

Responsibilities

• Designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs.
• Working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
• Working with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
• Enabling autonomous decision-making systems that can operate with minimal human intervention.
• Creating adaptive processing systems for dynamic environments.
• Discovering features and inferring system states from the underlying data streams.
• Working towards solutions for large-scale sensing systems.
• Implementing tailored models to deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees