Staff Computer Vision & Machine Learning Engineer
Allen Control Systems · Austin, TX
About this role
## Staff Computer Vision & Machine Learning Engineer ### Company Overview ACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments. Our flagship product, **Bullfrog**, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems—providing warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield. Bullfrog is deployed with U.S. forces, and ACS works with organizations throughout the U.S. military and national security community. Following a **$200M Series B** at a **$2.2B valuation**, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. ACS is headquartered in **Austin, Texas**, with additional operations in **Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama**. ### 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 - Develop and optimize 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 across varied scenarios to ensure robustness and performance under different environmental conditions. - Contribute to hardening 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, with sustained exploration since early in your career. - **10+ years** of experience working on machine-learning-based computer vision, ideally in robotics. - **Bachelor’s and/or Master’s** degree in Computer Science, Electrical Engineering, or a related field, with strong focus on machine learning and computer vision. - Proven track record of **senior-level** experience developing and deploying computer vision systems, ideally in **real-time** or **safety-critical** applications. - Proficiency in **Python** and **C++**, and experience with ML frameworks such as **TensorFlow**, **PyTorch**, or similar. - Experience with **embedded systems** and integrating computer vision algorithms into hardware. - Familiarity with various sensors…
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