Research Scientist Intern

3 weeks ago

London, Greater London, United Kingdom Flawless AI Full time
Unlock the Future of AI with Flawless

Flawless AI is revolutionizing the film industry with its cutting-edge Gen AI film editing tools. As a Research Scientist Intern on our neural rendering team, you'll collaborate with world-class researchers to tackle complex problems in deep learning, including multi-modal image synthesis, audio-visual data fusion, and 3D computer vision.

Key Responsibilities:
  • Contribute to groundbreaking research in 3D-controlled dynamic face neural rendering.
  • Develop efficient deep neural network models for photorealistic neural rendering.
  • Collaborate with researchers across departments to push the boundaries of AI innovation.
  • Stay up-to-date with the latest advancements in top-tier conferences and publications.
Requirements:
  • Ph.D. in Visual Computing, Computer Vision, Machine Learning, or a related field.
  • Proven track record of publications in leading conferences and journals.
  • 2+ years of experience with building systems based on Computer Graphics, Computer Vision, or Machine Learning methods.
  • Strong expertise in deep learning and computer vision, including generative neural networks, neural networks, and transfer learning.
  • Proficiency in deep learning frameworks such as PyTorch.
  • Interest in building real-world tools with product impact.
Nice to Have:
  • Experience with 3DMM and statistical face models.
  • Experience with Transformer, CNN, GAN, and Diffusion model architectures.
  • Experience with differentiable rendering pipelines.

At Flawless AI, we value autonomy, collaboration, and innovation. Join our team and be part of shaping the future of AI in the film industry. You'll enjoy a competitive salary, a hybrid working environment, and the opportunity to work on cutting-edge projects that make a real impact.

We're committed to providing an equal opportunity, safe environment for people to do their best work. We welcome applicants from diverse backgrounds and consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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