AI​/ML Software Engineer

Overview

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, the ability to learn quickly, work well within a team, and hit the ground running.

• Design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs.
• Work with time-series data and develop models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
• Collaborate with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering accuracy, security, and maintainability.
• Enable autonomous decision-making systems that can operate with minimal human intervention, create adaptive processing systems for dynamic environments, and discover features and infer system states from data streams.
• Develop solutions for large-scale sensing systems to deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.
• U.S. Citizenship is required; TS/SCI active clearance may be 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 (Tensor Flow, 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.
• Nice to have: 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; experience with multimodal, agentic systems using RAG, COT, or MARL; reinforcement learning, human feedback, and related system learning methods; containerized AI models with Docker/Kubernetes; cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI);
  
  model monitoring, A/B testing, and performance optimization; real-time inference systems and low-latency model serving; adversarial ML and AI security/robustness techniques; graph neural networks for network analysis; experience in design, deployment, support of AI or ML models for significant real-world applications.

FULL RELOCATION plus Industry best benefits & stock. Salary Type:
Annual Salary. Salary Min: $135000. Salary Max: $180000. Currency Type: USD.