Principal Applied Scientist

Oracle•Nashville, TN

8d•$126,200 - $264,100

About The Position

Independently partners with engineering, product, and security teams to translate complex identity and public safety needs into ambitious research plans and production-ready AI solutions. Leads end-to-end applied research across next-generation facial recognition, including face verification and multi-face recognition, as well as defenses against deepfakes, presentation attacks, and other adversarial threats. Explores advanced approaches such as agentic video analysis and multimodal AI to enable broader public safety and security applications and expand Oracle’s portfolio. Surveys the state of the art, builds high-quality datasets, runs rigorous experiments and POCs, and designs, trains, evaluates, and optimizes models for real-world deployment. Writes reliable, well-documented code and collaborates closely to ship, monitor, and improve models in production. Advances Oracle’s scientific leadership through publications, patents, white papers, peer review, and engagement with the broader research community, pushing the boundaries of secure identity and public safety AI. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Requirements

Experience in applied research
Expertise in next-generation facial recognition (face verification, multi-face recognition)
Knowledge of defenses against deepfakes, presentation attacks, and adversarial threats
Experience with agentic video analysis and multimodal AI
Ability to survey the state of the art
Experience building high-quality datasets
Experience running rigorous experiments and POCs
Proficiency in designing, training, evaluating, and optimizing AI models
Ability to write reliable, well-documented code
Experience shipping, monitoring, and improving models in production
Experience with publications, patents, white papers, and peer review

Responsibilities

Translate complex identity and public safety needs into ambitious research plans and production-ready AI solutions.
Lead end-to-end applied research across next-generation facial recognition, including face verification and multi-face recognition.
Develop defenses against deepfakes, presentation attacks, and other adversarial threats.
Explore advanced approaches such as agentic video analysis and multimodal AI.
Survey the state of the art, build high-quality datasets, and run rigorous experiments and POCs.
Design, train, evaluate, and optimize models for real-world deployment.
Write reliable, well-documented code and collaborate closely to ship, monitor, and improve models in production.
Advance Oracle’s scientific leadership through publications, patents, white papers, peer review, and engagement with the broader research community.