Flawless is looking for a Sr Research Scientist - 3D Vision to join our AI org. It’s a very exciting time to be joining Flawless, with over 100 employees across London and LA, working with major Hollywood studios on movies with A list actors and also leading advertising agencies and brands.Our groundbreaking AI powered tools, allow any new dialogue to be visually lip synced without the need to reshoot or go back to set. The pioneering 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 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).

As the Sr Research Scientist - 3D Vision you will be joining an innovative generative AI startup changing the future of filmmaking. The Sr Research Scientist - 3D Vision will report to the Chief Researcher, working closely with Science, VFX, Production, and Product teams. The Sr Research Scientist - 3D Vision will be responsible for leading a team of Research Scientist and Research Engineers for 3D Vision, Tracking and Reconstruction focused on delivering complex production level solutions in 3D Vision, and Audio Driven Facial Animation. This team is impacting the delivery for localization and foreign language dubbing solutions across feature films, episodic series, and commercial content. The Sr Research Scientist - 3D Vision must be a forward thinking, and solutions oriented leader and will be responsible for the innovation and development of generative AI editing solutions to our global clients. Critical to this role is having the ability to lead Publications, accepted at top-tier conferences like CVPR, ECCV, NeurIPS, and SIGGRAPH, as well as lead and mentor their research team of scientists, engineers and Interns. Excellent time-management skills, deep knowledge of the latest trends in immersive production, and experience in managing multiple projects in high volume on a global scale is imperative. As senior leader; clear, concise, and constant communication is paramount to the success of our production ability. This leader must be able to work effectively and efficiently with our cross-functional teams in both the US and UK locations. This position reports to the Chief Researcher, and works closely with other key production executives, creatives, and Science Leaders.

Qualifications

• 5 Years of leadership, managing teams of 5 Scientists/Engineers.
• 10 years experience in research science
• Completed MS or PhD in Visual Computing, Computer Vision, Computer Graphics, 3D Vision, or related field industry or research experience with deep learning and computer vision
• Extensive experience with Python/Pytorch
• Expertise in 3D facial tracking and 3D facial reconstruction
• Familiar with linear algebra, and numerical optimization
• Experience with cloud platforms such as GCP, Azure, or AWS
• Experience in various generative models for image face synthesis and reconstruction
• Experience with machine learning and deep learning and modern 2D and 3D Vision.
• Creating metrics and benchmarking
• Ability to conduct proactive and independent research beyond expectations
• Experience with differentiable rendering pipelines, such as PyTorch3D, or Taichi Graphics.
• Familiar with 3DMM and statistical models
• Experience with developing machine and deep learning approaches as well as modern 2D and 3D Vision tools.
• Experience working in collaborative teams comprised of researchers, applied scientists, and platform developers

• Lead Author and Manager for several published work in top-tier CV and Graphics conferences e.g. ICCV, CVPR, Siggraph, NeurIPS
• Experience developing tools or solutions at scale for multi-modal or audio-driven visual systems in AR/VR or VFX
• Experience with C or CUDA
• Familiarity with Transformer, CNN, GAN architectures
• Knowledge in Diffusion models and NerFs