# Senior Machine Learning & Autonomy Engineering

Hiring organization: [AeroVironment](https://career.thegoodapps.co/organizations/aerovironment)

Canonical page: https://career.thegoodapps.co/jobs/265a26d8-75af-46bf-9238-d41c014d7136

Listed on AeroVironment's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: San Diego, CA
- Salary: 123500 – 188500 USD per year

## Summary

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._

## Skills named

Digital Signal Processing, Machine Learning, MATLAB, MLOps, Python, PyTorch

## 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

Apply on AeroVironment's site: https://avav.wd1.myworkdayjobs.com/en-US/AVAV/job/San-Diego-CA/Senior-Machine-Learning---Autonomy-Engineering_8311-1