$129,500 – $197,500
Listed on AeroVironment’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role develops computer vision and machine learning algorithms for defense and commercial applications, working on detection, classification, and tracking systems for autonomous platforms. It suits experienced machine learning engineers comfortable with both traditional ML pipelines and deep learning, who can bridge algorithm research with real-world deployment on embedded systems.
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
- BS in Computer Vision, Machine Learning, Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering, or equivalent
- 5–8 years of relevant machine learning or computer vision experience
- C/C++ and MATLAB proficiency
- Ability to troubleshoot complex systems
- US citizenship
Nice to have
- Advanced degree
- Proficiency with TensorFlow or Keras
- Python and scikit-learn/pandas experience
- Expertise in visualizing and manipulating large datasets
- OpenCV proficiency
- Linux familiarity
- Ability to select hardware for ML model deployment with required latency constraints
- Works independently with minimal instruction
- Strong team collaboration and communication
- Excellent problem-solving and analytical skills
- Ability to thrive in fast-paced, deadline-driven environments