Flawless is an award winning film technology company pioneering the generative AI revolution in filmmaking. Solving some of the biggest problems filmmakers face by empowering them with groundbreaking AI powered post production tools, allowing on screen dialogue to be visually changed without the need to reshoot or go back to set. The world’s first system has won multiple awards including TIME Best Inventions.
Founded in 2020 by Hollywood director, Scott Mann and serial technology entrepreneur Nick Lynes, Flawless is opening a world of new possibilities for filmmakers whilst ensuring the responsible adoption of generative AI. With headquarters in London and LA, Flawless has established an exceptional team of 100 world leaders in science, film and technology that have come from the likes of Adobe, Google, Lionsgate, NASA, Sony, Facebook, Microsoft and Apple (click here to find out more).
Flawless are looking for a {insert job title] to {insert description}.
You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that’s caring, creative and collaborative.
As an applied scientist on the neural rendering team at Flawless, you will work with a close-knit, passionate group of world-class researchers tackling some of the most challenging problems in deep learning including multi-modal image synthesis, audio-visual data fusion, 3D computer vision, and the application of some of the most exciting works in generative AI. Our work in automated visual translation is just the beginning, we’re developing countless exciting products based on the application of our proprietary, cornerstone research. This is an unbelievable opportunity to join a team operating at the cutting edge of the generative revolution, don't hesitate, reach out today.
Requirements
- MS or Ph.D. in Visual Computing, Computer Vision, Machine Learning, or related field3+ years of industry or research experience with deep learning and computer vision in one or more of the following:
- Neural networks and transfer learning
- Un-supervised or self-supervised learning
- Few/zero-shot learning for image synthesis
- Neural talking head synthesis
- Domain adaptation techniques for image face synthesis
- 3D vision3+ years of experience in Python with proficiency in deep learning frameworks such as PyTorch or Tensorflow
- Experience developing tools and solutions at scale for visual effects or real-world computer vision problems
- Proficiency in statistical methods and numerical optimization
- Experience with Multi-modal image synthesis with audio-visual data
- Experience with 3D GANs for human synthesis
- Publications in venues such as Siggraph, ICCV, CVPR, ICML, or NeurIPS
- Autonomy - You'll own your work from start to finishInfluence
- You'll impact major research decisionsPublication
- You'll be encouraged to publish work through collaborations with researchersLearning
- You’ll push the state-of-the-art with the best in the worldImpact
- Your input genuinely mattersHybrid working environment
- Competitive Salary
- Stock Options
- Comprehensive medical, dental, and vision insurance401(k) plan
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