Principal Applied Scientist

Oracle Oracle · Enterprise · Nashville, TN +1

Principal Applied Scientist role focused on applied research and production deployment of AI solutions for identity and public safety, including facial recognition, deepfake defense, agentic video analysis, and multimodal AI. Responsibilities span literature review, dataset preparation, model training, fine-tuning, optimization, deployment, and monitoring, with an emphasis on advancing scientific leadership through publications and patents.

What you'd actually do

  1. 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.
  2. 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.
  3. Explores advanced approaches such as agentic video analysis and multimodal AI to enable broader public safety and security applications and expand Oracle’s portfolio.
  4. 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.
  5. Writes reliable, well-documented code and collaborates closely to ship, monitor, and improve models in production.

Skills

Required

  • Advanced computer vision
  • facial biometrics
  • video understanding
  • multimodal AI
  • adversarial machine learning
  • model training
  • model fine-tuning
  • computer vision pipelines
  • multimodal systems
  • computation optimizations
  • ML and AI solution architecture
  • data preparation
  • model development
  • training
  • inference
  • evaluation
  • coding
  • version control
  • code review
  • code delivery and deployment
  • documentation
  • testing
  • performance optimization
  • reliability
  • collaboration with engineering and product teams
  • monitoring solutions in production

Nice to have

  • literature reviews
  • state-of-the-art analyses
  • research proofs-of-concept (POCs)
  • research experiments
  • scientific process
  • modeling approaches
  • evaluation techniques
  • data collection strategies
  • image datasets
  • video datasets
  • multimodal datasets
  • new theories, tools, and methodologies
  • scalable and reliable deployment
  • insights from data and metadata
  • analysis and experimentation
  • interpreting and communicating insights
  • patents
  • white papers
  • publications
  • technical documentation
  • biometrics
  • video intelligence
  • secure identity
  • public safety AI
  • medium-complexity code
  • existing codebases
  • peer review
  • operational teams
  • model accuracy
  • model robustness
  • evolving threat conditions
  • scientific community presence
  • research community engagement

What the JD emphasized

  • production-ready AI solutions
  • defenses against deepfakes
  • presentation attacks
  • agentic video analysis
  • multimodal AI
  • real-world deployment
  • monitor, and improve models in production
  • publications
  • patents

Other signals

  • applied research
  • production-ready AI solutions
  • facial recognition
  • deepfakes
  • presentation attacks
  • agentic video analysis
  • multimodal AI
  • model training
  • fine-tuning
  • computer vision pipelines
  • multimodal systems
  • inference
  • evaluation
  • deployment
  • monitoring models in production