Senior ML/AI Engineer

Job description

About HEADBORNE.AI Safe, mission-based AI solutions for first responders and defense. HEADBORNE's long-term mission is to defend free democracies of the world with ethical, interoperable, mission-based safe AI solutions for first responders, defense forces, and decision makers. We build a secure, AI-driven Cloud/OS platform integrated in the next generations of AR smart glasses, helmets, drones, robots, and training systems. We seamlessly connect them across air, land, sea, space, and cyberspace, delivering complete situational awareness, control, and command. About the Role HEADBORNE seeks a Senior Machine Learning/AI Engineer to join our rapidly growing core systems team. You will develop machine learning solutions for advanced sensor technology from concept through deployment—optimizing object detection algorithms and pioneering ML-based image enhancement techniques that push the boundaries of what our sensors can achieve. This is a hands-on, high-impact role spanning model architecture, data pipeline development, embedded deployment, and system-level performance optimization. Working closely with hardware and systems engineers, you’ll translate sensor capabilities into robust ML models that perform reliably in real-world conditions. We’re looking for a brilliant, motivated engineer to join TEAM HEADBORNE—delivering mission-based, safe AI solutions that matter. Responsibilities Own and lead the development of ML models for object detection, tracking, and image enhancement on embedded platforms. Build and maintain scalable data pipelines for sensor data ingestion, training, and evaluation. Optimize inference performance for low-latency, low-power edge compute (GPU/CPU/NPU) environments. Integrate ML models into mission-critical systems for AR helmets, drones, and robotic platforms. Conduct experiments and benchmarking across diverse imaging conditions and sensor types. Collaborate with software and hardware teams to align ML architecture with embedded system constraints. Contribute to codebase quality, model reproducibility, and CI/CD workflows for ML pipelines. Explore and prototype new ML applications aligned with HEADBORNE’s mission. Required Qualifications MS or PhD in Computer Science, Machine Learning, or a related technical field. 2+ years of experience shipping production-grade ML systems. Deep expertise in machine learning algorithms and applied…