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# ML Engineer

- **Company:** Insight Global
- **Location:** San Diego, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Noise Reduction, Python (Programming Language), MATLAB, Machine Learning, Radio-Frequency Identification, Pattern Recognition, Signal Processing, Software Engineering, Management of Software Versions, Data Processing, Pytorch, Deep Learning, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://dejobs.org/x/x/58C486184E664385AD6EFD289CD89810/job/

## About the Role

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

## 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