Computer Vision ML Intern — UAV & Defense R&D

AeroVironment

Minneapolis (MN)

On-site

USD 28,000 - 41,000

Full time

14 days+
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Benefits offered by this job

Relocation stipend
Housing reimbursement stipend

Job summary

AeroVironment in Minneapolis, MN offers a paid Summer Internship Program for students pursuing CS/EE/ML. This 12-week, onsite program provides hands-on experience with cutting-edge computer vision and ML projects, mentored by AV teams and exposure to the full development lifecycle.

As a Machine Learning Intern, you will contribute to detection, classification, localization, and tracking tasks on UAV-related systems, with opportunities to prototype, test, and evaluate solutions while developing

Qualifications

  • Pursuing BS in a related field (CS/EE/ML/vision).
  • Familiarity with C/C++ and MATLAB.
  • Proficiency with office productivity tools.
  • Basic troubleshooting skills for technical systems.

Responsibilities

  • Support development of computer vision and ML algorithms for UAV tasks.
  • Assist in writing/testing software to integrate ML into aircraft systems.
  • Explore and visualize data to understand distributions and anomalies.
  • Help implement ML systems and validate designs through experiments.
  • Define objectives, develop models, and track performance using metrics.
  • Data analysis using AV tools and industry-standard platforms.
  • Manage datasets, hardware, and time to support timelines.
  • Evaluate ML algorithm performance and deployment strategies.
  • Data preparation, cleaning, and transformation.
  • Assist in error analysis and corrective strategies.
  • Research suitable ML algorithms and tools.
  • Support tests on datasets and representations.

Skills

Teamwork
Communication
Problem solving
Adaptability

Education

Bachelor's degree in Computer Vision/ML/CS/EE

Tools

C/C++
MATLAB
Python
OpenCV
Linux
TensorFlow/Keras
scikit-learn
Pandas

Job description

AeroVironment in Minneapolis, MN offers a paid Summer Internship Program for students pursuing CS/EE/ML. This 12-week, onsite program provides hands-on experience with cutting-edge computer vision and ML projects, mentored by AV teams and exposure to the full development lifecycle.

As a Machine Learning Intern, you will contribute to detection, classification, localization, and tracking tasks on UAV-related systems, with opportunities to prototype, test, and evaluate solutions while developing

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