Aerospace ML Intern: Computer Vision & R&D

InvestedintheMission

Minneapolis (MN)

On-site

USD 30,000 - 34,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision benefits
401K with company matching
9/80 work schedule
Paid holiday shutdown

Job summary

AeroVironment in the United States is seeking a Summer Machine Learning Intern to collaborate with the R&D Group on computer vision solutions for defense and commercial uses. You’ll join small, focused design teams across development stages including concept, prototype, testing, and evaluation.

The role requires pursuing a BS in a related field, familiarity with ML frameworks, Python, and Linux. This onsite internship offers exposure to cutting-edge tech and real-world applications within a

Qualifications

  • Pursuing a BS in a relevant field (CS/EE/CE/ML).
  • Familiar with C/C++ and MATLAB.
  • Proficient with office productivity tools.
  • Basic troubleshooting skills for technical systems.

Responsibilities

  • Support development of computer vision and ML algorithms for detection, classification, localization, and tracking using UAV-mounted cameras.
  • Assist in writing and testing software to integrate ML into aircraft systems.
  • Explore and visualize data to understand distributions and anomalies.
  • Implement ML systems and validate designs through experiments.
  • Define objectives, develop models, and track performance with metrics.
  • Perform data analysis with AV tools and platforms.
  • Help manage datasets, hardware, and timelines for projects.
  • Evaluate ML algorithm performance and deployment strategies.

Skills

C/C++
MATLAB
Office tools
Troubleshooting

Education

BS in Computer Vision/ML/CS/EE

Tools

OpenCV
Python
Linux
TensorFlow
Keras
scikit-learn
pandas

Job description

AeroVironment in the United States is seeking a Summer Machine Learning Intern to collaborate with the R&D Group on computer vision solutions for defense and commercial uses. You’ll join small, focused design teams across development stages including concept, prototype, testing, and evaluation.

The role requires pursuing a BS in a related field, familiarity with ML frameworks, Python, and Linux. This onsite internship offers exposure to cutting-edge tech and real-world applications within a

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