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Specialized PhD requirement reduces competition, but metro location and mid-level experience keep density moderate.
PhD and niche AI research (vision/LLMs) strongly limit cross-industry transferability.
Mandatory PhD, explicit 5+ years, and required Transformers/PyTorch make screening stringent.
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Design, develop, and deploy state-of-the-art AI/ML models for mission-critical security and public safety products.
Conduct end-to-end AI/ML model research and production deployment, focusing on algorithm optimization for real-time and edge use cases.
Collaborate with engineering teams to integrate models into scalable cloud and edge AI platforms with rigorous, metric-driven evaluation frameworks.
PhD in a technical field (CS, AI, Physics, or related).
5+ years of professional experience in applied AI research.
Deep understanding of Transformer architectures and Vision-Language Models.
Proficiency in Python and deep learning frameworks such as PyTorch.
Experienced in applied AI research with a focus on computer vision, voice AI, or foundational model fine-tuning for security-related applications.
Ability to translate research into scalable, high-performance production systems deployed on cloud and edge devices.
Strong coding skills possibly including production-level Python (and optionally C++), with exposure to embedding AI models in complex systems.