Senior Principal Applied Scientist, Multimodal AI

Senior Principal Applied Scientist, Multimodal AI at Oracle

As part of OCI Applied Science group, our objective is to create innovations that power internal and external solutions. The Multimodal AI team is working on developing cutting-edge AI solutions using Oracle's industry leading GPU-based AI clusters to disrupt industry verticals and push the state-of-the-art in Multimodal AI research. As a Senior Principal Applied Scientist in the Applied Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers, playing a key role in shaping the future of Generative AI & Analytics at Oracle and across the industry.

Responsibilities

• Research and Development: Conduct in-depth research on image and video generation techniques, including diffusion models, flow-based models, generative adversarial networks (GANs), and other emerging approaches.
• Model Development: Design, develop, and train state-of-the-art image generation models that meet the highest quality standards.
• Team Leadership: Build and mentor a high-performing team of scientists and engineers.
• Collaboration: Work closely with cross-functional teams to integrate video generation capabilities into various applications and products.
• Innovation: Identify new opportunities for image generation and explore emerging technologies.
• Stay Updated: Maintain a deep understanding of industry trends and advancements in video generation.

Qualifications and Experience

• PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning (8+ years relevant experience is preferred but not a must); OR Masters or Bachelor’s in a related field with 12+ years relevant experience.
• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
• Extensive experience in image generation, computer vision, and deep learning.
• 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.

Key skills/competency

• Generative AI
• Multimodal AI
• Image Generation
• Video Generation
• Diffusion Models
• GANs
• Deep Learning
• Computer Vision
• Machine Learning Algorithms
• Team Leadership