Staff Computer Vision & Machine Learning Engineer

Allen Control Systems

• $150K — $180K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Deep passion for machine learning, computer vision, and robotics.
  • 10+ years of experience in machine-learning-based computer vision, preferably in robotics.
  • Bachelor's or Master's Degree in Computer Science, Electrical Engineering, or related fields.
  • Proven senior-level experience in developing and deploying computer vision systems for real-time applications.
  • Proficiency in Python, C++, and experience with TensorFlow, PyTorch, or similar frameworks.
  • Experience with embedded systems and integrating vision algorithms into hardware.
  • Familiarity with various sensors like cameras, LIDAR, and RADAR.

Responsibilities

  • Develop and optimize computer vision algorithms for drone detection, tracking, and classification.
  • Design and implement machine learning models for resource-constrained environments.
  • Collaborate with electrical engineers on integrating vision systems with turret hardware.
  • Conduct testing and validation of algorithms in diverse scenarios.
  • Contribute to hardening the turret prototype into a military-grade system.

Benefits

  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off
Full Job Description
About The Role:

We are looking for a Staff Level Computer Vision and Machine Learning Engineer to help lead the development and optimization of the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. You will work closely with electrical engineers to integrate vision systems into the turret's hardware architecture and contribute to hardening the prototype into a military-grade system.

What You'll Do:
  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:
  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • More than 10+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
  • At least a Bachelors and/or Masters Degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • A proven track record of senior-level experience developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with embedded systems and integrating computer vision algorithms into hardware.
  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
  • You enjoy collaborating with other engineers to solve complex technical challenges.


What We Offer:
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

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