Incoming
Deep Media, ML Research Intern
Joining Deep Media's R&D team to advance deepfake detection capabilities through dataset engineering, model benchmarking, and failure analysis across diverse media formats and synthetic generation methods.
- Build Python, PyTorch, and FFmpeg pipelines for video and audio ingestion, normalization, augmentation, and traceable metadata.
- Train and compare CNN and Vision Transformer detection models against diffusion- and GAN-generated synthetic media.
- Audit datasets for bias, environmental variance, label consistency, and corrupted or low-utility samples.