companyAllen Control Systems logo

Junior Computer Vision & Machine Learning Engineer

On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Entry Level

Qualifications

What You'll Bring: A strong passion for machine learning, computer vision, and robotics, with a background in these areas from early in your career. A Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a clear emphasis on machine learning and computer vision. 0-3+ years of hands-on experience in machine-learning-based computer vision, preferably in the robotics sector. A proven ability to develop and deploy computer vision systems, particularly in real-time or critical safety applications. Proficiency in Python and C++, alongside experience with machine learning frameworks like TensorFlow, PyTorch, or equivalent. Familiarity with embedded systems and integrating computer vision algorithms into hardware architectures.

About the job

Join Our Team as a Junior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems!

About Allen Control Systems:

Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control systems to accurately identify and neutralize small drones and loitering munitions. Our pioneering approach presents exciting technical challenges, making ACS a vibrant workplace for aspiring engineers.

With a strong engineering-driven culture, ACS prioritizes technical excellence and creativity. Our founders have successfully exited from two previous ventures, collectively worth $180 million in 2022, and we are dedicated to ensuring that the groundbreaking technologies we create will make a significant real-world impact.

Your Role:

  • Develop and optimize computer vision algorithms for our autonomous gun turret, focusing on real-time detection, tracking, and classification of drones.
  • Design and implement machine learning models capable of functioning in resource-constrained environments while ensuring high accuracy and reliability.
  • Collaborate with electrical engineers to seamlessly integrate computer vision systems into the turret's hardware architecture.
  • Conduct rigorous testing and validation of computer vision algorithms across various scenarios to ensure robustness and performance under diverse environmental conditions.
  • Contribute to the enhancement of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges.

About Allen Control Systems

Allen Control Systems (ACS) is a pioneering startup in the defense sector, specializing in robotics and software solutions designed to combat emerging threats. Our founders, experienced Navy engineers, bring a wealth of knowledge and a successful track record in technology innovation. At ACS, we are committed to developing advanced systems that significantly enhance defense capabilities.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.