Data Scientist- Computer vision (Senior)

Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. We are seeking a Senior Computer Vision Data Scientist to join our core development team, responsible for designing, training, and optimizing computer vision models for deepfake detection and forensic analysis. You will collaborate with founders and engineers to push the limits of multimodal AI for real-world impact.

• Develop, train, and deploy computer vision models for image and video manipulation detection
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques
• Preprocess, clean, and manage large-scale datasets for training and evaluation
• Optimize model accuracy, latency, and scalability for enterprise-grade performance
• Contribute to the design of the model evaluation framework and internal benchmarking tools
• Collaborate with other engineers and researchers to integrate models into production pipelines
• Document methodologies, experiments, and findings clearly and systematically

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field
• Strong experience in computer vision (CNNs, Transformers, multimodal models)
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)
• Solid understanding of MLOps, dataset curation, and model evaluation
• Proven experience building and training models from scratch
• Excellent analytical and problem-solving skills
• Self-driven, disciplined, and collaborative mindset
• Bonus: Experience with audio or multimodal analysis, knowledge of adversarial attacks or deepfake generation methods, experience in real-time inference or edge deployment

Fast-paced environment with opportunity to work on impactful innovation in digital safety and trust. Collaborative team culture united by shared sense of purpose.