Job Description

AI/ML Software Engineer For Signal Processing Applications

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

About the Organization: MRSL is an employee-owned company with its headquarters in Sarasota, FL. MRSL also has offices in Monterey, CA and Dayton, OH as well as several employees located at customer facilities in the US and around the globe. MRSL has deep experience in signal processing applications and common services development for the National agencies of the Intelligence Community (IC) and the Department of Defense. We develop and deploy multiple applications and system infrastructures for use in client mission operations. MRSL specializes in the development of mission-oriented signal processing algorithms, applications, and associated services for our customers. MRSL excels in the design, development, and deployment of signal processing applications using the X-Midas framework, since we evolve and sustain this framework for the entire community of IC contractors. MRSL employs engineers and researchers who specialize in cutting-edge signal processing technologies, system and software design, life cycle support, signal analysis, communications, and software development. MRSL proudly offers highly competitive wages and benefits. We offer a business casual atmosphere with a team-oriented environment. MRSL is looking for candidates with a solid academic background in engineering/science with good hands-on programming skills, a high degree of drive and dedication, the ability to learn quickly, and who works well with others. To apply go to and select Careers. Benefits: Discounted premiums for Medical, Dental and Vision Company paid Life & AD&D, Short and Long-Term Disability Voluntary coverage for Supplemental Life & AD&D, Cancer, Disability, and Accident Insurance Flexible Spending Programs Paid Time Off (PTO) plan for vacation, sick and holidays 401k Plan Employee Stock Ownership Plan Discount Programs.

Requirements

AI/ML Software Engineer for Signal Processing Applications - Minimum Qualifications:

• We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.
• 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
• TS/SCI active clearance required. U.S. Citizenship required

Nice to have, but not required:

• 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

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