Responsibilities

• Develop and train deep learning models for classification problems
• Propose and publish novel solutions to improve synthetic image and video detection
• Collaborate with fellow scientist and engineers across the organization

About You

• You have academic or industry experience with: (1) Neural networks - CNNs, ViTs, sequence modeling (2) Deep generative learning, esp. for image generation (3) Image classification, ensemble modeling, transfer learning (4) Familiarity with image compression, video codecs, and image forensics.
• You have implemented, published and want to publish research works at top computer vision research venues CVPR, ICCV, ECCV, etc. 
• You can independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute (like AWS).
• Team player with a positive attitude, sincerity, and good communication skills.
• Nice to have: You ideally hold an MS, or PhD degree in Computer Science, Data Science, or equivalent experience.