About the Role
Entry-Level Computer Vision & Machine Learning Engineer – Autonomous Anti-Drone Systems
Company Summary
Allen Control Systems (ACS) is a pioneering defense startup founded by ex-Navy electrical engineers with a successful background in robotics and software ventures. We’re building a compact, self-guided gun turret equipped with advanced vision and control systems to detect and eliminate small drones and loitering threats. The work is technically demanding and ideal for engineers seeking a fast-paced, innovation-driven environment.
Backed by successful exits totaling $180M in 2022, ACS prioritizes engineering excellence and impactful technologies with real-world defense applications.
Your Responsibilities
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Design and fine-tune real-time computer vision algorithms for drone detection, tracking, and recognition.
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Develop machine learning models tailored for embedded platforms with strict performance and accuracy requirements.
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Work alongside hardware engineers to seamlessly integrate vision systems with the turret’s architecture.
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Rigorously test and validate algorithms in diverse operational conditions to ensure robustness.
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Support the evolution of our prototype into a deployable military-grade system and contribute to adaptations for various use cases.
What We’re Looking For
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Passionate about AI, vision, and robotics, with hands-on experience or strong academic exposure.
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Bachelor’s degree (or higher) in Computer Science, Electrical Engineering, or similar, with a focus on ML/CV.
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0–3 years of experience in computer vision and ML, preferably in robotics or real-time applications.
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Skilled in Python and C++, and experienced with ML frameworks (e.g., PyTorch, TensorFlow).
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Knowledge of embedded systems and hardware integration.
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Familiarity with sensors such as cameras, LIDAR, and RADAR.
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Team-oriented mindset with strong problem-solving skills.
Benefits
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Competitive salary
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Equity in the company
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Comprehensive health, dental, and vision insurance
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Paid time off
Equal Opportunity Statement
ACS is an Equal Opportunity Employer. We welcome applicants of all backgrounds and do not tolerate discrimination of any kind.