ML Engineer
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Role details
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Job description
Insight Global is seeking a ML Engineer for a top autonomous systems and defense technology client. This engineer will develop and deploy machine learning algorithms focused on detecting and classifying drone threats within Counter-UAS systems. The role combines AI/ML, RF signal processing, DSP, deep learning, and MLOps, with extensive work on large-scale RF datasets, spectrogram processing, data pipelines, and workflow automation. The ideal candidate brings strong Python and DSP capabilities and enjoys translating complex, real-world signal data into high-impact detection solutions. * Develop, apply, and evaluate ML algorithms for drone-threat detection and signal-processing problems * Work with large-scale RF datasets for model training and testing * Apply DSP techniques to denoise and precondition spectrogram data * Build and improve data-processing pipelines * Identify opportunities to automate manual data workflows * Analyze real-world results to determine root causes and statistical trends * Improve data quality and detection/model performance * Partner with AI/ML, software engineering, and field-test teams * Support R&D efforts involving signal processing, statistics, deep learning, and MLOps
Requirements
Required Qualifications: * Master’s degree in Machine Learning, Computer Science, Applied Mathematics, or similar field * 3-5 years of relevant experience * Strong Digital Signal Processing (DSP) foundation * Professional experience with machine learning, statistical signal processing, or pattern recognition * Strong Python skills * Experience handling large, complex datasets * Ability to analyze real-world data, statistical trends, and model results * Strong written and verbal communication skills Preferred Qualifications: * PyTorch or comparable deep learning framework experience * MATLAB experience * MLOps experience across model training, versioning, and deployment * Spectral analysis experience * Adaptive filtering experience * Detection/estimation theory knowledge * Counter-UAS experience * Radar, Electronic Warfare (EW), or defense RF systems experience * Proven ability to develop creative data-processing or workflow automation solutions
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