About The Role
Reality Defender seeks Research Scientists in Computer Vision to join the R&D team. You’d work on product-oriented research for synthetic (deep fake) image and video detection, and tackle cutting-edge deep learning and computer vision problems with an emphasis on classification and adversarial methods.
Responsibilities
-
Develop and train state-of-the-art deep learning models for classification problems in computer vision and image synthesis.
-
Propose and publish novel solutions to improve synthetic image deepfake detection.
-
Collaborate with fellow scientist and engineers across the organization.
About You
-
You have academic or industry experience with: (1) Neural networks - CNNs, ViTs (2) Deep generative learning, esp. for image generation (3) Image classification, ensemble modeling, transfer learning (4) Signal-processing, and image forensics.
-
You have implemented, published, and want to publish research 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.
-
You ideally hold an PhD degree in Computer Science, or equivalent experience.
About Reality Defender
Reality Defender is a for-profit company that works on applied research and products, centered around detection of synthetic media.
Reality Defender
