$123,500 – $188,500
Listed on AeroVironment’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A machine learning engineer role focused on developing detection algorithms for Counter-UAS systems, working with signal processing and large RF datasets to identify drone threats. Suited for someone with a strong foundation in DSP and deep learning who wants to solve real-world defense challenges at the intersection of signal processing and MLOps.
Our summary, not AeroVironment’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Master's degree in Machine Learning, Computer Science, Applied Math, or related field
- 3 years of relevant experience
- Strong foundation in DSP principles and techniques
- Proficiency in Python
- Work experience with machine learning, statistical signal processing, or pattern recognition
- Strong data handling skills
- U.S. citizenship
Nice to have
- MATLAB experience
- PyTorch or similar deep learning framework experience
- MLOps practices knowledge
- Experience with spectral analysis, adaptive filtering, or detection/estimation theory
- Creative problem-solving ability
- Counter-UAS, radar, EW, or defense RF systems exposure