Member of Technical Staff: Junior AI Researcher

Synhawk builds omnimodal foundation models for communication integrity and protection against AI threats. The Junior AI Researcher will advance foundation models and media integrity methods through a research-to-production pipeline, including training experiments, data curation, multimodal augmentation, deepfake detection, signal processing, and adversarial robustness testing.

Responsibilities:

• Running and scaling training experiments on multi-GPU setups
• Data curation: filtering, deduplication, and building training data mixtures
• Fine-tuning and post-training (SFT, preference optimization), and evaluating how models behave under distribution shift
• Multimodal data augmentation strategies
• Implementing and testing detection architectures for audio, video, and images
• Signal processing: codecs, compression artifacts, forensic fingerprints
• Adversarial robustness: testing models against attacks, re-compression, and downsampling
• Hands-on red teaming with open-source and proprietary deepfake generators, integrated into the R&D cycle