Applied Science Internship - Audio 3D Vision

Key Skills

3D data processing, Aartificial intelligence, AWS, Azure, Computer Graphics, Computer Vision (CV), Deep Learning, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, PyTorch, TensorFlow, VR/AR frameworks

Job Description

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).

As an applied scientist intern on the computer vision and graphics team at Flawless you will work with a close-knit, passionate group of world-class researchers and scientists to tackle some of the most challenging problems in deep learning, including neural radiance field-based object modeling, relighting, and 3D reconstruction. 

Our work in visual dubbing is just the tip of the iceberg, we’re developing countless exciting products based on our cornerstone research. This is an unbelievable opportunity to be on the cutting edge of the generative revolution.

Qualifications

• MS in Visual Computing, Computer Vision, Speech Recognition and Synthesis, Machine Learning, or related field industry or research experience with deep learning and computer vision
• Proficiency in Python, PyTorch, or Tensorflow
• Proficiency in linear algebra, and numerical optimization
• Proficiency in cloud platforms such as GCP, Azure, or AWS
• Experience with in follow area:Audio and 3D data(point cloud, mesh) processing
• Speech-based modeling with deep neural networks
• Recurrent and visual attention models for audio-video processing
• Experience with machine learning and deep learning and modern vision and audio methods
• Experience working in collaborative teams comprised of researchers, applied scientists, and platform developers

Preferred Qualification

• MS (with experience) or Ph.D. in Computer Vision, Computer Graphics, Speech Synthesis, Machine Learning, or related field
• On-going Ph.D. (student) in computer vision and ML, or related fields
• Experience developing tools or solutions at scale for multi-modal or audio-driven visual systems in AR/VR or VFX