Director of Computer Vision and Machine Learning
Allen Control Systems · Austin, TX
About this role
**Director of Computer Vision and Machine Learning** **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, ACS combines 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 across 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’re seeking a **Director of Computer Vision / Machine Learning** to bridge executive AI strategy and day-to-day technical execution for Bullfrog™’s perception and tracking systems. You will translate the VP / Chief Engineer of AI’s vision into clear priorities, roadmaps, and standards for the **Computer Vision, Machine Learning, and Tracking** teams—while staying hands-on by reviewing code, digging into data, and helping solve the hardest problems alongside staff engineers and leads across software, mechanical, electrical, and systems engineering. You’ll also build direct working relationships with other VPs and executive leadership, representing CV/ML/Tracking in technical and schedule discussions across the company. --- **What You’ll Do** - Translate the VP / Chief Engineer of AI’s vision and technical strategy into actionable plans, milestones, and priorities for CV, ML, and Tracking; serve as the primary communication channel for direction, status, risk, and insights. - Manage, coach, and develop managers across CV/ML and Tracking; mentor engineers and technical leads; help identify and grow future leaders. - Partner with software, mechanical, electrical, and systems engineering to solve cross-disciplinary problems (sensor selection/placement, optics, compute/power constraints, thermal limits). - Own on-time delivery of CV/ML and Tracking contributions to program schedules; anticipate integration risks early and drive resolution before milestones are threatened. - Establish and enforce standards for model development, evaluation, experiment tracking, reproducibility, and documentation; define measurable metrics/benchmarks (detection accuracy, tracking performance, latency, robustness). - Review code and pull requests; write code/prototypes/analysis scripts to unblock the team or validate approaches; participate in architecture and design reviews. --- **What You’ll Need** - **10–15 years** of experience in computer vision and/or machine learning, with **3+ years** leading managers or multiple teams. - Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or related field. - Deep expertise in at least one: **object detection, multi-object tracking, sensor fusion, or deep learning for perception**. - Strong programming skills in
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