Job Requirements
Sterling, VA
Top Secret Polygraph not specified
Career Level not specified
Salary not specified
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Job Description
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
Eiden Systems Consulting (ESC) is an equal opportunity employer and is committed to creating an inclusive and respectful workplace. ESC does not discriminate against any employee or applicant based on age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any other classification protected by federal, state, or local law.
In accordance with 41 CFR 60-1.35(c), ESC will not discharge or otherwise discriminate against employees or applicants for discussing, disclosing, or inquiring about their own pay or the pay of another employee or applicant. However, employees who have access to compensation information as part of their essential job functions may not disclose the pay of others to individuals who do not have authorized access—unless such disclosure is made (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or legal action (including those conducted by ESC), or (c) as otherwise required by law.
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
Eiden Systems Consulting (ESC) is an equal opportunity employer and is committed to creating an inclusive and respectful workplace. ESC does not discriminate against any employee or applicant based on age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any other classification protected by federal, state, or local law.
In accordance with 41 CFR 60-1.35(c), ESC will not discharge or otherwise discriminate against employees or applicants for discussing, disclosing, or inquiring about their own pay or the pay of another employee or applicant. However, employees who have access to compensation information as part of their essential job functions may not disclose the pay of others to individuals who do not have authorized access—unless such disclosure is made (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or legal action (including those conducted by ESC), or (c) as otherwise required by law.
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