Computer Vision & Machine Learning, Junior

Allen Control Systems•Austin, TX

About The Position

Allen Control Systems (ACS) is a cutting-edge defense startup developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. We are seeking a Junior Computer Vision & Machine Learning Engineer to join our team. This role involves developing and optimizing computer vision algorithms and machine learning models for real-time drone detection, tracking, and classification in resource-constrained environments. You will collaborate closely with electrical engineers to integrate these systems into the turret's hardware, conduct extensive testing, and contribute to hardening the prototype into a military-grade system.

Requirements

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.
0-3+ 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.

Responsibilities

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.