Computer Vision Research Intern, Parallel Domain

• Level: PhD students (must have prior relevant publications)
• You are actively pursuing a PhD in computer science or a related field at a world renowned university
• You are well-versed with developing machine learning models for computer vision tasks
• You have published peer-reviewed research in at least one of these areas: 3D Computer Vision and Scene Reconstruction, Generative Modeling (GANs, Diffusion models, 3D Gaussian Splatting), Image and Scene Synthesis (Inpainting, Style Transfer), Semantic Segmentation or Automated Scene Understanding, Domain Adaptation or Sim-to-Real techniques
• You have prior experience with Pytorch, Tensorflow, or Keras
• You're eager to learn You are a team-player and understand the importance of clear communication
• You thrive in ambiguous environments
• You are not afraid to approach new challenges
• You are fluent in english

Desirable

• We’re excited to bring on exceptional PhD Research Interns for summer and extended research opportunities
• This is your chance to dive deep into advanced Computer Vision and Machine Learning research, collaborate daily with experienced professionals, and make immediate real-world impact
• Duration: Ideally 12-16 weeks (can extend up to 6 months)
• You’ll be part of the ML team tasked with establishing best practises on creating and using synthetic data for perception
• You will work directly with our team to perform cutting-edge research in one or more of these key areas: 3D computer vision, generative models for image/video/scene generation, style transfer, image inpainting, neural rendering, and related areas
• You’ll develop, experiment, and integrate advanced CV algorithms into our platform
• You’ll summarize your findings to help guide our team as well as our customers
• You’ll sync with your team on a daily basis to discuss progress, ideas and problems
• You’ll work with veterans from the gaming, movie and automotive industry