ZeroMark is seeking a Principal Computer Vision Engineer to develop and optimize advanced computer vision algorithms for aerial object detection and tracking in AI-driven counter-drone systems. The role involves researching new CV and deep learning techniques, collaborating with cross-functional teams, and ensuring real-time performance in defense applications. Ideal candidates have a Master's/PhD in a related field, experience in computer vision and object detection, and strong programming skills in Python/C++ with OpenCV, TensorFlow, or PyTorch.
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 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 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 related field with focus on computer vision and machine learning.
Zero Marketing Waste is a full-service marketing and technology agency focused on the home improvement and e-commerce sectors. The company helps clients build sales and marketing teams and programs while utilizing AI-driven strategies to improve marketing efficiency.