Applied Scientist Intern - Neural Rendering
Flawless is at the forefront of innovation in the AI space, serving the film industry with pioneering Gen AI film editing tools. Our goal is to provide filmmakers with advanced technology that fosters creativity, enables limitless storytelling opportunities, and delivers exceptional visual and emotional experiences.
What we are looking for:
As an applied scientist intern part of the neural rendering team at Flawless, you will collaborate with a dedicated team of esteemed researchers to address complex deep learning challenges. These include multi-modal image synthesis, audio-visual data fusion, 3D computer vision, and the application of groundbreaking generative AI concepts.
Our focus on automated visual translation is just the beginning, with numerous innovative products in development utilizing our proprietary research. This role offers an extraordinary chance to join a team at the forefront of the generative revolution; do not miss out on this opportunity.
Responsibilities:
- Supporting the Film Innovation team and its users.
- Resolving edge cases within our pipeline.
- Tasks related to image quality and neural rendering.
Requirements:
- Currently pursuing an MS in Visual Computing, Computer Vision, Machine Learning, or a related field.
- Strong expertise in deep learning and computer vision, with proficiency in areas including neural networks, transfer learning, unsupervised learning, self-supervised learning, and more.
- Familiarity with deep learning frameworks such as PyTorch or Tensorflow.
- Proficient in statistical methods and numerical optimization.
- Interest in developing impactful real-world tools.
Nice to Have:
- Continued pursuit of a PhD with relevant experience in Computer Vision, Computer Graphics, 3D Vision, or a related field.
- Familiarity with 3DMM and statistical models.
- Knowledge of Transformer, CNN, and GAN architectures.
- Experience with creating metric and benchmark solutions for 3D facial tracking.
- Previous experience working in collaborative teams involving researchers, applied scientists, and platform developers.
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