AI/ML Software Engineer

About the role

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.

Responsibilities

• Design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs.
• Work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
• Enable autonomous decision-making systems that can operate with minimal human intervention.
• Create adaptive processing systems for dynamic environments.
• Discover features and infer system states from the underlying data streams.
• Solve large-scale sensing systems, implementing tailored models to deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.

Requirements

• 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.

Qualifications

• U.S. Citizenship required.
• TS/SCI active clearance 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.
• 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.

Benefits

FULL RELOCATION plus Industry best benefits & stock.

Pay

Salary Type : Annual Salary
Salary Min : $ 135000
Salary Max : $ 180000
Currency Type : USD