Research Scientist II (Video)
Core
Develop new functionalities and improve existing technologies for real-time video processing, meeting analytics, face recognition, and deepfake detection.
Role type
Research Scientist II (Computer Vision/Video)
Builds
Real-time video processing and meeting analytics solutions for enterprise identity verification and fraud prevention.
Domain
AI Security / Computer Vision / Fraud Detection
Deliverable
production ML models
Required skills
Deep Learning, Computer Vision, Face Recognition, Video Deepfake Detection, Python, PyTorch, TensorFlow, Keras, Research Package Development, Model Reproducibility, Patent Writing, Peer-Reviewed Publications
Preferred skills
C/C++ Functional Programming, Go, TF-Lite, TF-Micro, Real-time Video Processing Pipelines, Biometrics, Identity Authentication, Fraud Patterns
Technologies
PyTorch, TensorFlow, Keras, TF-Lite, TF-Micro, Go
Responsibilities
Design and implement deep learning algorithms for video processing and deepfake detection; Develop and maintain internal research packages for training and testing ML models; Partner with engineering teams to deploy research models into production; Publish patents and peer-reviewed papers in top conferences.
Seniority
Mid-Senior, hands-on IC
