Principal Applied Scientist

Job Description

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.

• Independently collaborates with engineering, product, security, and other cross-functional teams to identify business and product needs, create and implement solutions, promote innovation, and drive model implementations.
• Independently performs literature reviews and state-of-the-art analyses in areas such as advanced computer vision, facial biometrics, video understanding, and multimodal AI to understand the problem that needs to be solved.
• Creates a science plan to address product and/or business problems in secure identity, public safety, and related application areas.
• Serves as a leading contributor in identifying solutions based on the scientific process, including modeling approaches, evaluation techniques, and data collection strategies.

• Develops and pilots research proofs-of-concept (POCs) or research experiments to demonstrate the feasibility of proposed solutions, gather supporting evidence, and secure resources for applied research.
• Independently identifies and prepares image, video, and multimodal datasets for use in applied research. Ensures datasets meet quality standards and identifies gaps in coverage, representation, and evaluation.
• Contributes to the design of and conducts research on new theories, tools, and methodologies to transfer and apply state-of-the-art technologies, including agentic video analysis and advanced facial recognition, into products and services or make advancements in the field.

• Designs, develops, and optimizes AI artifacts: including model training and fine-tuning, computer vision pipelines, multimodal systems, and computation optimizations.
• Designs and reviews the architecture of ML and AI solutions, including data, model, training, inference, and evaluation components, employing best practices for scalable and reliable deployment.

• Independently identifies meaningful insights from data and metadata sources through analysis and experimentation.
• Interprets and communicates insights and findings to cross-level and cross-functional audiences.
• Creates patents, white papers, publications, or other technical documentation related to applied research outcomes in biometrics, video intelligence, secure identity, and public safety AI.

• Develops efficient, medium-complexity code from scratch and properly maintains and organizes existing codebases.
• Implements best practices for version control, code review, and code delivery and deployment.
• Builds and maintains professional documentation for technical processes, including experimentation, data collection and analysis, model development, and evaluation.
• Tests and reviews code for bugs, performance issues, and reliability.

• Collaborates with fellow technical teams to ensure the successful and timely delivery of solutions and integration of services.
• Collaborates with software engineers and machine learning engineers to…