ABOUT THIS POSITION
If you are passionate about deep learning and 3D simulation and have experience with creating photorealistic 3D content from images/videos, we encourage you to apply for this exciting opportunity.
If you are passionate about deep learning and 3D simulation and have experience with creating photorealistic 3D content from images/videos, we encourage you to apply for this exciting opportunity.
Develop and implement innovative approaches to create photorealistic 2D/3D content from images/videos
Use NERF-like techniques, GANs, Diffusion models, and other generative methods to boost photorealism in computer graphics
Develop differentiable and neural rendering methods to improve the quality of 3D simulations
Leverage virtual worlds and simulation as an engine to build new training data
Conduct domain adaptation and transfer learning from Virtual Worlds/Simulation
Collaborate with a team of developers and engineers to integrate your solutions into our final product
Stay up-to-date with the latest developments in the field of generative deep learning and 3D simulation software, and apply new techniques to improve our products
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields
At least two years of experience working with deep learning and 3D simulation software like Blender and Unreal Engine
Strong background in the foundation of computer vision
Proficiency in programming languages such as Python, C++
Experience with NERF-like techniques, Diffusion models, prompt engineering, GANs, differentiable and neural rendering, and domain adaptation
Hands-on experience with Pytorch
Previous experience with robots and ROS is a plus
Previous experience with edge devices (e.g., Jetson) is a plus
Previous experience with optimization frameworks (e.g., TensorRT) is a plus
Excellent communication and problem-solving skills
Ability to work independently and as part of a team