Research Engineer (Computer Vision)

Research Engineer (Computer Vision)

Remote option /

Reality Defender – Research /

Full-time

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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.

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