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# Machine Learning & Autonomy Engineering

- **Company:** AeroVironment, Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Salary:** $123,500.0 - $188,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Big Data, Intrusion Detection and Prevention, Python (Programming Language), MATLAB, Machine Learning, Radio-Frequency Identification, Pattern Recognition, Signal Processing, Management of Software Versions, Data Processing, Pytorch, Deep Learning, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://www.juju.com/job/1_aerovironment1-8311

## About the Role

This role sits at the intersection of signal processing, statistics, deep learning, and MLOps, working closely with our San Diego AI/ML team, SW engineers, and field test teams to train models, improve data quality, and scale our detection capabilities. ******Responsibilities * Help with the development, application, and evaluation of machine learning algorithms to address challenging detection and signal processing problems * Analyze and manage large datasets to support model training and testing * Identify opportunities to automate data processing workflows and improve team efficiency * Apply Digital Signal Processing (DSP) principles to assist in algorithm development * Analyze results from real-world data to identify root causes, statistical trends, and insights * Collaborate with multidisciplinary teams in research and development efforts ******Required Qualifications * Master's degree in Machine Learning, Computer Science, Applied Math, or similar field with 3 years of
relevant experience * Strong foundation DSP principles and techniques * Proficiency in Python; MATLAB experience is a plus * Work experience with machine learning, statistical signal processing, or pattern recognition * Strong data handling skills and instincts for working with large, complex datasets * Curiosity and motivation to experiment with new approaches and automation strategies * Good written and verbal communication skills ******Preferred Qualifications * Hands-on experience with PyTorch or similar deep learning frameworks * Familiarity with MLOps practices (model training, versioning, deployment) * Experience with spectral analysis, adaptive filtering, or detection/estimation theory * Demonstrated ability to propose creative solutions to data or workflow challenges * Exposure to Counter-UAS, radar, EW, or defense RF systems * Passion for building impactful products that serve real-world missions **Clearance Level** No Clearance The salary range for this role is