Computer Vision & Machine Learning Engineer
US$203,000 – US$270,000 / yr base salary
Posted 26 Jun 2026
Advertised as “Staff Computer Vision & Machine Learning Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | US$203,000 – US$270,000 / yr |
|---|
Field of studyComputer Science, Electrical Engineering (or related)
Study levelBachelor's or higher
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 — giving 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 $200 million Series B at a $2.2 billion valuation, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. This is an opportunity to join a proven, fast-moving team and help scale technology with direct, real-world impact on national security.
ACS is headquartered in Austin, Texas, with additional operations in Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama. For more information, visit allencontrolsystems.com.
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:
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Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
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Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
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Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
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Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.