Senior AI/ML Engineer

Job Summary

To support an R&D program focused on passive RF emitter identification, the full-time Senior AI/ML Engineer will design, build, and validate machine learning models, conduct exploratory data analysis, and implement ML data pipelines in a remote environment.

Key Responsibilities

• Design, build, and validate machine learning models for RF emitter identification, including feature engineering and model evaluation
• Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks
• Implement and maintain ML data pipelines ingesting NDF sensor streams on constrained edge hardware

Required Qualifications

• 5+ years of hands-on applied experience in machine learning, data science, or RF signal processing
• Proficiency in Python for ML and data science, with experience in PyTorch or TensorFlow for model development
• Experience designing, training, and evaluating deep learning models on real-world, noisy datasets
• Practical experience handling real-world data quality problems and diagnosing issues without discarding valid data
• Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration