Senior Research Scientist (Video)
Core
Advancing core research initiatives in audio-visual deepfake detection, synthetic media identification, and real-time video processing to secure enterprise digital interactions.
Role type
Senior Research Scientist (Computer Vision & Deepfake Detection)
Builds
Scalable enterprise solutions for identity verification and deepfake detection across voice, video, and digital interactions.
Domain
Cybersecurity, AI, Computer Vision, Fraud Detection
Deliverable
production ML models
Required skills
Deep Learning, Computer Vision, real-time video processing, model deployment, Python, PyTorch, TensorFlow, Keras, peer-reviewed research, patenting
Preferred skills
C/C++, TF-Lite, TF-Micro, NIST FRVT/DFDC/Kaggle benchmarks, biometrics, identity authentication, fraud patterns
Technologies
PyTorch, TensorFlow, Keras, TF-Lite, TF-Micro
Responsibilities
Drive forward-looking research in audio-visual deepfake detection and synthetic media identification; Design and evaluate novel ML and computer vision algorithms for video data; Partner with engineering to transition research prototypes into production systems; Maintain model reproducibility, publish patents and peer-reviewed papers; Conduct code/research reviews and mentor junior researchers.
Seniority
Senior, hands-on IC with strategic scope
