E-3 Visa Principal Scientist Jobs

INTRODUCTION

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.

Key Responsibilities

Solution Identification:

• 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.

Solution Development – Applied Research:

• 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.

Solution Development:

• 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.

Solution Development – Articulating Research Insights:

• 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.

Solution Delivery – Coding and Documentation:

• 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.

Solution Delivery:

• 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 deploy computer vision, biometric, and video analysis solutions into production environments.

• Participates in the peer review of solutions prior to delivery.

• Coordinates with team members for the delivery of solutions.

• Ensures delivered solutions successfully address product and/or business problems and meet applicable quality, security, and performance requirements.

• Independently collaborates with operational teams to evaluate and monitor solutions in production, including model accuracy, robustness, and evolving threat conditions.

Building Research Capability – Research Excellence:

• Demonstrates advanced knowledge in at least one business-critical applied research area, such as computer vision, facial biometrics, video understanding, multimodal AI, or adversarial machine learning.

• Applies advanced domain knowledge and industry best practices to applied research, with a focus on secure identity, public safety, and broader applications that expand Oracle’s AI portfolio.

Building Research Capability – Research Community Presence:

• Leads the publication and presentation of research findings and papers at conferences and in research and industry outlets.

• Participates in the scientific community by providing peer review and feedback.

• Establishes collaborations with internal research labs and external research communities.

Core Responsibilities

Planning & Execution:

• Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative.

• Efficiently monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines.

Collaboration & Partnership:

• Collaborates across the organization to align on expectations and achieve shared objectives.

• Leverages an understanding of business leaders, stakeholders, and customers to ensure proposed research and technical solutions meet their needs.

• Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.

Problem Solving:

• Identifies and addresses moderately complex scientific and technical issues by analyzing a wide range of data and information to identify solutions in accordance with standard practices.

• Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions.

• Reviews, contributes to, and documents problem-solving strategies.

Continuous Learning:

• Pursues learning opportunities to expand knowledge of emerging research, technologies, and tools, and stays abreast of the latest trends and best practices in computer vision, biometrics, video AI, and related fields.

• Proactively seeks and leverages ongoing feedback and training to improve skills.

• Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams.

Continuous Improvement:

• Develops ideas, recommends updates, and collaborates on the implementation of process improvements to increase the efficiency and effectiveness of research, experimentation, development, and delivery workflows across teams, and evaluates the impact on key stakeholders.

• Solicits feedback from others on ideas for alternative approaches and methods for continued improvement.

Performance and Development:

• Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations.