Applied AI Researcher

About the Role Join a small team building AI technology for synthetic media detection, media forensics, and digital fraud prevention. This role combines rigorous research with hands-on engineering, helping turn promising methods into reliable software for practical digital trust and security challenges. What You'll Do Investigate methods for synthetic media detection, media analysis, and fraud prevention. Read, assess, and reproduce relevant research, then identify approaches for further development. Design experiments, establish baselines, and evaluate model performance on realistic data. Implement research ideas and collaborate with engineering to bring effective approaches into production. Analyze failure cases and improve model reliability, generalization, and computational efficiency. Document methods and findings, contribute to research papers and technical writing, and help prioritize work around practical problems. What We're Looking For Strong foundations in machine learning, experimental design, and model evaluation. Experience building, training, and evaluating models with modern machine learning tools. A demonstrated ability to translate research into working software and ship production code. Ability to critically read research papers, design experiments, and clearly communicate methods and findings. Evidence of research and engineering ability through shipped systems, publications, open-source work, or substantial applied projects. Experience in computer vision, audio processing, multimodal learning, media forensics, adversarial robustness, or deployment under real-world latency and reliability constraints is valuable. Comfort taking ownership of open-ended problems in a small team. Compensation & Benefits Compensation is discussed during the hiring process. Visa sponsorship is available. Location Remote.