Research Scientist II – Deepfake Detection & Authentication (Video & Audio)
Pindrop, US - Remote +1
What you will do
As a Research Scientist II on our core Research team, you will independently drive research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions across deepfake video, deepfake audio, and voice/identity authentication. In this role, you will:
- Conduct research to develop new functionalities and improve existing technologies for synthetic media detection, multimodal deepfake identification (audio and video), and real-time identity authentication.
- Design, implement, and evaluate deep learning algorithms related to audio-visual deepfake detection, speech synthesis detection, facial manipulation analysis, and biometric authentication.
- Design, develop, and maintain internal research packages and pipelines to train, evaluate, and benchmark ML models, ensuring computational efficiency and absolute reproducibility.
- Partner closely with research engineers and engineering teams to transition complex research prototypes into efficient, scalable, production-ready systems across cloud and edge platforms.