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Computer Vision & Machine Learning Engineer - All Levels

Allen Control Systems · On-site

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Last seen by MeritLog September 8, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Allen Control Systems's Ashby job board and last checked it on September 8, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$94K - $270K
Location
Austin, TX

Hiring context

How this role compares at Allen Control Systems

Allen Control Systems has 67 live roles in MeritLog’s catalog across 6 job families, and 16 of them are in data & analytics. 23 of those listings publish a pay range, a disclosure rate of 34%.

This role's posted range of $94K - $270K sits above 32% of the 22 other Allen Control Systems roles quoted over the same currency and period.

Allen Control Systems concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on our autonomous gun turret.
  • Design and implement machine learning models capable of operating in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate with electrical engineers to integrate computer vision systems into the turret’s hardware architecture; contribute to hardening the prototype into a military-grade system and developing variants for different weapon systems and engagement ranges.
  • Conduct extensive testing and validation of CV algorithms across diverse scenarios to ensure robustness and performance under varying environmental conditions.
  • 4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems; Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on ML and computer vision.
  • Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications; deep passion for ML, computer vision, and robotics with roots that go back to early in your career.
  • Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors such as cameras, LiDAR, and radar and their integration into autonomous systems.
  • Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery.
  • Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable.
  • Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms.
  • Experience with multi-sensor fusion or integrating data from heterogeneous sensor modalities such as optical and infrared cameras.

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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 http://allencontrolsystems.com. About The Role We are looking for a Computer Vision and Machine Learning Engineer to develop and optimize the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. ACS is hiring across multiple experience levels for this role, from Associate through Senior Staff; your title and level will be determined based on your experience, skills, and scope of responsibility. 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. We’re hiring across multiple experience levels, including: Associate CV/ML Engineer CV/ML Engineer Senior CV/ML Engineer Staff CV/ML Engineer Senior Staff CV/ML Engineer What You’ll Do - Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on our autonomous gun turret. - Design and implement machine learning models capable of operating in resource-constrained environments while maintaining high accuracy and reliability. - Collaborate with electrical engineers to integrate computer vision systems into the turret’s hardware architecture; contribute to hardening the prototype into a military-grade system and developing variants for different weapon systems and engagement ranges. - Conduct extensive testing and validation of CV algorithms across diverse scenarios to ensure robustness and performance under varying environmental conditions. What You’ll Need - 4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems; Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on ML and computer vision. - Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications; deep passion for ML, computer vision, and robotics with roots that go back to early in your career. - Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar. - Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors such as cameras, LiDAR, and radar and their integration into autonomous systems. You’ll Stand Out - Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery. - Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable. - Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms. - Experience with multi-sensor fusion or integrating data from heterogeneous sensor modalities such as optical and infrared cameras. What We Offer - Competitive salary - ACS Equity Package - Health, Dental, Vision Insurance - Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-AS1

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