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Oracle
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Principal Applied Scientist - OCI/GenAI (Multimodal)

Oracle · US

Actively hiring Posted 4 months ago

As part of the OCI Multimodal AI Science Team, we are seeking a visionary leader to spearhead image generation model research and development efforts. As the video generation model scientist lead, you will be responsible for driving the development and implementation of cutting-edge video generation and manipulation technologies. You will lead a team of world-class scientists in exploring new frontiers of video synthesis, style transfer, and video editing.

  • Research: Conducting in-depth research on image and video generation techniques, including generative adversarial networks (GANs), diffusion models, and other emerging approaches.
  • Model Development: Designing, developing, and training state-of-the-art generation models that meet the highest quality standards.
  • Team Leadership: Building and mentoring a high-performing team of scientists and engineers to execute on ambitious technical goals.
  • Collaboration: Partnering with cross-functional teams to integrate advanced generation capabilities into applications and products.
  • Innovation: Identifying new opportunities for generation technology and exploring emerging trends in the space.
  • Industry Awareness: Staying current with advancements in both image and video generation, ensuring our approaches remain cutting-edge.

Qualifications:

  • 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 4+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 8+ 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

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