Principle AI Research Engineer
Motorola SolutionsMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Tier-1 employer, mid-level AI research role but PhD- and specialization-driven reduces applicant density.
Highly domain-specific research skills and PhD requirement limit cross-industry transferability.
Requires PhD, 5+ years applied AI research, Transformer expertise and production deployment experience.
Job Description
Structured overview of role & requirementsAbout This Role
Lead research, design, development, and deployment of advanced AI/ML models focused on public safety and security applications.
Optimize and implement foundational and domain-specific AI models (e.g., Transformer architectures, Vision-Language Models) for real-time and edge deployment constraints.
Collaborate with cross-functional teams to integrate AI models into scalable cloud and edge platforms and ensure rigorous evaluation using metric-driven frameworks.
Minimum Requirements
PhD in a technical field.
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.
Ideal Candidate Profile
Experienced applied AI researcher with a focus on computer vision, voice AI, or foundational model fine-tuning for mission-critical security environments.
Proven ability to translate research into production-quality code and scalable AI systems, familiar with cross-team collaboration in R&D and product integration.
Technical depth in Transformer-based models and experience with state-of-the-art AI methods relevant to large-scale, real-world deployments.