Reality Defender
Enterprise Deepfake Detection
Research Engineer (Computer Vision)
About the role
Please use the following link to apply for this role: https://jobs.lever.co/realitydefender
About The Role
Reality Defender seeks computer vision research engineers 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 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.
About Reality Defender
Reality Defender is a for-profit company that works on applied research and products, centered around detection of synthetic media.
Why you should join Reality Defender
Reality Defender is a rapidly growing technology startup building the future of deepfake detection technology.
You will help create an AI-first state-of-the-art scalable platform that supports multiple AI models processing thousands of user uploaded videos, images and audio files per day in real time.
