Lead Principal Applied Scientist

The computer vision team is responsible for growing our capabilities in image analysis and recognition. Our goal is to enable customers to apply computer vision to solve their particular business problems with our assistance and expertise. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality computer vision models and services that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a visionary scientist to spearhead computer vision initiatives and lead the technical direction of the team. You will be responsible for driving the development and implementation of cutting-edge computer vision technologies, and working with a team of world-class scientists to explore new frontiers of computer vision to enable real-world solutions. Responsibilities Team Leadership: Lead and mentor a high-performing team of scientists. Collaboration: Work closely with cross-functional teams to integrate computer vision capabilities into various applications and products. Innovation: Identify new opportunities for computer vision emerging technologies. Technical Leadership: Provide technical direction and guidance to the team, and drive the development of the computer vision roadmap. Qualifications and Experience: PhD Computer Science, Electrical Engineering, or a related field with a dissertation, thesis or final project centered in Computer Vision and Machine Learning) with 8+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 10+ years relevant experience Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Extensive experience in computer vision, deep learning, and image processing Proven track record of leading research and development projects Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong leadership and communication abilities If you are passionate about pushing the boundaries of computer vision and have a proven track record of success, we encourage you to apply. Solution Development – Articulating Research Insights: –Identifies meaningful insights from highly complex data and metadata sources from analysis and experiments. –Interprets and communicates insights and findings throughout Oracle. –Leads the creation of patents, white papers, or other technical documentation related to applied research outcomes. Solution Delivery – Coding and Documentation: –Evaluates and offers guidance on high-complexity code written by team and properly maintains and organizes existing codebase. –Establishes best practices for version control, code review, and code delivery/deployment and guides less experienced team members. –Builds, maintains, and reviews professional documentation for technical processes (experimentation, data collection and analyses, model building). –Owns the repository for the team. Solution Delivery: –Guides technical teams to ensure the successful and timely delivery of solutions and integration of services. –Ensures successful collaboration with software engineers and/or machine learning engineers to deploy solutions into production environments. –Leads the peer review of solutions prior to delivery. –Coordinates the delivery of solutions with applied science team members. –Ensures delivered solutions successfully solve product and/or business problems. –Guides the definition of operational and user feedback metrics and analyzes metrics to inform the technical strategy of the LOB. –Facilitates partnerships with operational teams to evaluate and monitor solutions in production. Building Research Capability – Research Excellence: –Demonstrates expertise and thought leadership within Oracle in at least one business-critical applied research technology area. –Leverages subject matter expertise to apply and guide others to apply domain knowledge and industry best practices to applied research. Building Research Capability – Research Community Presence: –Leads the publication, presentation, and review of research findings and papers in top-tier conferences, research and industry outlets, etc. –Serves as a keynote speaker in conferences or panels. –Participates in the scientific community by providing peer review and feedback. –Establishes collaboration with external research labs in industry, where plausible, or academia. Core Responsibilities Planning & Execution: –Manages and provides direction on timelines, deliverables, and budgets when applicable for critical high-impact projects or initiatives that impact the line of business, ensuring timely completion and adherence to requirements. –Anticipates and plans for shifts in resources or timelines based on changing business priorities, ensuring optimal outcomes. Collaboration & Partnership: –Influences cross-functional leaders and external stakeholders to gain alignment on strategic objectives. –Fosters partnerships with key business leaders, stakeholders, and/or customers, identifying opportunities for expanding partnerships and promoting long-term organizational success. –Champions transparency and inclusivity by actively seeking, listening to, and incorporating diverse perspectives. Problem Solving: –Leads specialized, advanced problem-solving efforts, serving as an escalation point for complex issues. –Guides others to leverage innovative data-driven techniques to address ambiguous or novel issues, identify root causes, and drives the implementation of solutions that prevent future issues. Continuous Learning: –Leverages deep industry knowledge and expertise to serve as a thought leader within the organization. –Contributes to the advancement of the field or industry through thought leadership (e.g., conference presentations, white papers, research contributions). –Maintains and evolves expertise in relevant areas by proacti