Computer Vision & Machine Learning Engineer, Mid-level

Allen Control Systems

Austin, TX, United States
On-site
Real-time drone detection, tracking, and classification
Machine learning models for resource-constrained environments
Python and c++ proficiency
Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification in autonomous gun turrets

Job Summary

  • Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification in autonomous gun turrets.
  • Design and implement machine learning models for resource-constrained environments and collaborate with electrical engineers for hardware integration.
  • Conduct extensive testing and validation in various scenarios to ensure robustness and performance under different environmental conditions.

Matching Summary

Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification in autonomous gun turrets.

Skills & Requirements

Must-have

  • real-time drone detection, tracking, and classification
  • machine learning models for resource-constrained environments
  • Python and C++ proficiency
  • TensorFlow, PyTorch, or similar frameworks
  • embedded systems integration

Nice-to-have

  • exploring ML/CV/robotics since early career
  • collaboration with electrical engineers
  • hardening prototype into military-grade system

Key Requirements

  • 4-7 years of experience
  • Bachelor's degree in CS, EE, or related field
  • experience with machine-learning-based computer vision
  • experience with real-time or safety-critical applications
  • experience with embedded systems and hardware integration
  • familiarity with various sensors (cameras, LIDAR, RADAR)

Work Rights

Not specified

Tailored Resume

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