Computer Vision Engineer (Object Detection & Tracking)

About the role

ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives. We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure. Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world-we're too busy actually doing it. Watch us in action here . Dark humor required, thick skin recommended. If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk. We're all about delivering practical, field-tested tech, not just theories.

Responsibilities

• Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
• Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure our solutions remain at the forefront of technology.
• Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
• Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
• Analyze and interpret complex data sets to improve detection and tracking accuracy.
• Help ensure compliance with industry standards and regulatory requirements in all developed solutions.

Requirements

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
• Minimum of 2 years of experience in computer vision and object detection.
• Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
• Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
• In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
• Excellent problem-solving skills, with the ability to think critically and innovate.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work effectively in a team-oriented, collaborative environment.
• Bonus Points
• Experience with drone technology and UAV systems.
• Knowledge of radar, LIDAR, and other sensing technologies.
• Experience in 3d perception or similar fields.
• Familiarity with cloud computing platforms and edge computing.

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