Senior Principal Applied Scientist

Description:

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. You will play a key role in shaping the future of Generative AI & Analytics at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers.

Responsibilities

Responsibilities:
 

• Research and Development: Conduct in-depth research on image generation techniques, including generative adversarial networks (GANs), diffusion models, 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 Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 8+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in 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