Radio Frequency Machine Learning (RFML)… at Blue Sky… · Reston

Summary: Blue Sky Innovators is seeking an undergraduate student or recent graduate to join their RF Machine Learning team as an RFML Product Workflow Engineer. This role involves architecting and implementing data pipelines from raw RF signal ingestion to machine learning-based identification and fingerprinting, focusing on signal processing, machine learning, and software engineering. Responsibilities: - Design and implement end-to-end data workflows from raw IQ data ingestion through RFML model inference - Build robust data processing pipelines that handle various RF signal formats (SIGMF, raw IQ files, etc.) - Architect scalable fingerprinting systems that extract and store unique RF signal characteristics - Develop fingerprint matching and retrieval systems to identify previously observed signals - Implement monitoring and logging throughout the pipeline to ensure data quality and system reliability - Integrate transformer-based and other neural network models into production workflows - Optimize data preprocessing and feature extraction for ML model inputs - Implement efficient batching and inference strategies for real-time or near-real-time processing - Collaborate with ML researchers to transition models from development to production - Design database schemas for storing signal fingerprints and associated metadata - Implement efficient similarity search and matching algorithms for fingerprint comparison - Build APIs and interfaces for querying the fingerprint database - Manage data versioning and provenance throughout the workflow - Write clean, maintainable, and well-documented Python code - Develop comprehensive unit and integration tests for pipeline components - Use configuration management tools (e.g., Hydra) for flexible system parameterization - Implement CI/CD practices for continuous deployment and testing - Create visualization and reporting tools for pipeline performance metrics Required Qualifications: - Currently pursuing or recently completed a BS/BA in Computer Science, Software Engineering, or related field - Strong programming skills in Python with experience in software design patterns - Understanding of data structures and algorithms - Experience with version control (Git) and collaborative development workflows - Ability to read technical documentation and learn new technologies independently - Strong problem-solving skills and attention to detail - Due to the nature of the work, you must be eligible for a security clearance and must be a U.S. Citizen Preferred Qualifications: - Coursework or projects in machine learning, signal processing, or data engineering - Experience with scientific Python libraries (NumPy, SciPy, pandas) - Familiarity with ML frameworks (PyTorch, TensorFlow) - Knowledge of database systems (SQL, vector databases, or time-series databases) - Experience with containerization (Docker) and orchestration tools - Understanding of RF fundamentals or digital signal processing concepts - Experience with package managers and virtual environments (conda, uv, pip) - Familiarity with configuration management and experiment tracking tools Required Skills: Python, Machine Learning, Signal Processing Important Skills: Version Control (Git), Database Systems, Containerization (Docker) Nice-to-Have Skills: Attention to Detail, Problem-Solving, Technical Documentation