Machine Learning & Computer Vision Engineer

Tactical Systems | Defense Sector ABOUT MERCER-EDWARDS, INC. Mercer-Edwards is a San Francisco–based private wealth management and venture capital firm, underpinned by deep technology expertise in AI, drone systems, and secure mobile platforms. Our technology practice serves both our investment work and select banking and defense sector clients, delivering mission-critical solutions in drone vision, real-time object determination, and edge-native computing — technology that operates independently of vulnerable infrastructure, ensuring absolute mission security, privacy, and operational superiority. THE MISSION We are seeking an elite Software Developer and Machine Learning Expert to spearhead the development of our next-generation Drone Vision and Threat Determination modules. This role requires a hybrid engineering skillset, bridging the gap between high-performance embedded logic and tactical mobile command interfaces. You will architect standalone AI solutions that operate completely offline — "air-gapped" from the cloud — to ensure zero latency and maximum security during active operations. KEY RESPONSIBILITIES • Edge-Native ML Development: Design and deploy Computer Vision (CV) algorithms for real-time object detection, tracking, and classification on edge devices without cloud dependency. • Dual-Stack Engineering: Write high-efficiency, memory-safe code in C++ and Swift for core processing logic and integrate seamlessly with mobile and server-side platforms. • Drone Vision Integration: Develop proprietary vision stacks for autonomous UAVs, focusing on navigation in GPS-denied environments and automated target determination. • Optimization: Optimize neural networks for deployment on mobile and embedded hardware (NPU/GPU acceleration) to ensure high operational endurance and low power consumption. • Security & Sovereignty: Ensure all ML modules are strictly standalone, maintaining absolute data privacy and preventing signal leakage. REQUIRED QUALIFICATIONS • Core Languages: Expert proficiency in C++ and Swift, covering development for both mobile platforms and server-side infrastructure. • Machine Learning: Deep understanding of CNNs, RNNs, and Transformers with experience in frameworks such as TensorFlow, PyTorch, or CoreML. • Computer Vision: Proven experience with OpenCV and custom vision pipelines (SLAM, Optical Flow, Object Segmentation). • Educational Background: Computer Science, Artificial Intelligence, Robotics (embedded systems oriented), or a related field (or equivalent military technical experience). • Sector Experience: Previous work in Defense, Aerospace, or high-risk trading systems is highly desirable.