If you are a Applied Scientist (Neural Rendering/Vision) with experience, please read on!
Top Reasons to Work with Us
We are an exciting and rapidly growing startup operating at the intersection of AI and film making.
We have an exciting technology that uses generative AI to make our users look like their favorite actor or actress is speaking another language, without subtitles or voice-overs, making it indistinguishable from the original performance using automated visual translation.
We have been awarded Awarded TIME Best Inventions of the Year and also won Best Neural Network Award at AI Tech Awards!
What You Will Be Doing
As an applied scientist on the neural rendering team, 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.
-Solve 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.
-Experience implementing solutions in to production focused on Neural networks and transfer learning
-Few/Zero Shot Learning for Image face synthesis
-Neural talking head synthesis
-Domain adaptation techniques for image face synthesis
-3D Vision
-Unsupervised/Self Supervised Learning
What You Need for this Position
-MS or Ph.D. in Visual Computing, Computer Vision, Machine Learning, or related field
3+ 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 vision
-3+ 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
Preferred Qualifications
-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
What's In It for You
-Autonomy - You'll own your work from start to finish
-Influence - You'll impact major research decisions
-Publication - You'll be encouraged to publish work through collaborations with researchers
-Learning - Youll push the state-of-the-art with the best in the world
-Impact - Your input genuinely matters
-Workspace flexibility
-Stock Options
-Comprehensive medical, dental, and vision insurance
-401(k) plan
So, if you are a Applied Scientist (Neural Rendering/Vision) with experience, please apply today or apply directly to liana.pryor@cybercoders.com!
Applicants must be authorized to work in the U.S.