Principal Machine Learning Engineer
Core
Architect and implement secure, privacy-preserving AI solutions on edge devices for counter-UAS systems, enabling continuous model improvement and deployment in Public Safety, Enterprise, and Defense domains.
Role type
Principal Machine Learning Engineer (Edge AI)
Builds
On-device AI models and distributed training platforms for counter-UAS devices
Domain
Defense, Public Safety, Counter-UAS, Edge Computing
Deliverable
production ML models
Required skills
Large-scale distributed platform architecture, on-device model deployment and management, model compression, system architecture design, Python, C++, TensorFlow, PyTorch
Preferred skills
Computer Vision, Natural Language Understanding, responsible AI, model encryption, de-identification
Technologies
TensorFlow, PyTorch, C++, Python
Responsibilities
Architect secure on-device solutions for continuous AI model improvement; Collaborate on state-of-the-art edge distributed training techniques; Implement on-device monitoring for model improvement; Implement innovative model compression solutions; Introduce new techniques to improve model fairness, performance, and platform scalability
Seniority
Principal, hands-on IC with strategic impact
