ESC is seeking a Mid-Level Machine Learning Engineer to support a mission-focused R&D program developing advanced signal detection and classification capabilities for national security applications. This role focuses on designing, training, and deploying ML models capable of identifying complex signals within high-bandwidth sensors and I/Q data streams. The engineer will work closely with researchers and software engineers to transition prototype algorithms into low-latency, edge-deployed operational systems supporting real-world mission environments.
Responsibilities:- Design, develop, and optimize machine learning models for signal detection, classification, and anomaly detection within noisy and high-volume data streams
- Develop and tune deep learning architectures including CNNs, LSTMs, and Transformer-based models for temporal and sequence-based analysis
- Apply signal processing techniques such as Fourier and wavelet transforms to support feature extraction and model performance
- Build scalable data pipelines for real-time I/Q stream processing, including buffering, windowing, normalization, and inference workflows
- Evaluate model effectiveness using advanced performance metrics including ROC/AUC, precision-recall curves, confusion matrices, and other techniques for imbalanced datasets
- Optimize machine learning models for low-latency execution on edge and embedded hardware platforms
- Develop modular, maintainable, and testable code using Python, NumPy, PyTorch and/or TensorFlow
- Support integration with network-attached sensors, hardware abstraction layers, and real-time data sources
- Collaborate with software engineers, researchers, and mission stakeholders in an agile R&D environment
- Participate in code reviews, technical discussions, and continuous improvement efforts using GitLab-based development workflows
- Support containerized application development and deployment using Docker within Linux/Unix environments
Required Qualifications:- Experience: 4-7 years of professional experience in machine learning or data science, with at least 2 years focused on sensor-based or temporal data.
- Education: B.S. or M.S. in computer science, data science, or applied mathematics.
- Security clearance: Active Top Secret (TS) clearance required. SCI preferred.
- Hands-on experience developing and deploying machine learning models using PyTorch and/or TensorFlow
- Strong understanding of machine learning fundamentals, statistics, linear algebra, and probability
- Experience developing software in Linux/Unix environments
- Proficiency in Python and scientific computing libraries such as NumPy
- Experience with version control and collaborative development workflows
- Experience working with I/Q data streams and real-time inference pipelines
ESC offers a competitive compensation package that includes premium health, dental, and vision insurance, a 401(k) plan with company match, life insurance, short- and long-term disability coverage, and more. We also prioritize work-life balance, supporting our team in maintaining a healthy blend of professional and personal well-being.
PAY TRANSPARENCY NONDISCRIMINATION PROVISION
