Bachelor's degree in Computer Science, Electrical Engineering, or related field focusing on machine learning and computer vision.
4-7 years of experience in machine learning-based computer vision, particularly in robotics.
Proven track record in developing and deploying computer vision systems for real-time applications.
Proficient in Python and C++, with experience in machine learning frameworks like TensorFlow or PyTorch.
Experience with embedded systems and integrating computer vision into hardware architecture.
Familiarity with sensor technologies like cameras, LIDAR, and RADAR.
Responsibilities
Develop and optimize computer vision algorithms for real-time drone detection and classification.
Design and implement machine learning models suitable for resource-constrained environments.
Collaborate with electrical engineers to integrate vision systems into turret hardware.
Conduct testing and validation of computer vision algorithms under various environmental conditions.
Contribute to the development of a military-grade turret prototype and variants for different systems.
Benefits
Competitive salary
ACS Equity Package
Health, Dental, Vision Insurance
Paid Time Off
Full Job Description
Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems
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.
At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
4-7 years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
A proven track record of 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.
