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.