Computer Vision & Machine Learning, Junior
Allen Control Systems7 months ago
Responsibilities
- Develop and optimize real-time computer vision algorithms for drone detection, tracking, and classification.
- Design and implement machine learning models for resource-constrained environments.
- Integrate computer vision systems into the turret’s hardware architecture with electrical engineers.
- Test and validate algorithms across varied environmental conditions for robustness and performance.
- Help harden the prototype turret into a military-grade system and develop variants for different weapon systems and engagement ranges.
Requirements
- 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 robotics.
- Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
- Proficiency in Python and C++.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Experience with embedded systems and integrating computer vision algorithms into hardware.
- Familiarity with cameras, LIDAR, RADAR, and their integration into autonomous systems.
- Passion for machine learning, computer vision, and robotics and ability to collaborate with other engineers.
Benefits
- Competitive salary (amount not specified)
- ACS equity package
- Health, dental, and vision insurance
- Paid time off
Categories
About Allen Control Systems
Allen Control Systems builds AI-enabled robotic weapon stations and small autonomous gun turrets that retrofit legacy and modern weapons for precise targeting, with emphasis on counter‑UAS missions. It sells hardware and software systems to U.S. defense and national security customers and integrators. The privately held company is headquartered in Austin, Texas, with an office in Alexandria, Virginia, and was founded by two former Navy electrical engineers.