Applied AI Researcher

About the role

About the Role Join a small research and engineering team working on AI for synthetic media detection, media forensics, and digital fraud prevention. You will combine rigorous research with hands-on implementation to develop approaches that address practical digital trust and security challenges. What You'll Do • Investigate methods for deepfake detection, synthetic media analysis, and fraud prevention. • Read, assess, and reproduce research, then identify approaches for further development. • Design experiments, establish baselines, and evaluate models on realistic data. • Implement research ideas and collaborate with engineering to bring successful methods into production. • Analyze failure cases and improve model reliability, generalization, and computational efficiency. • Document findings and contribute to research papers and technical writing. • Work with team leaders to prioritize research around practical user needs. 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 track record of translating research into working software and shipped production code. • Ability to critically assess research papers, design experiments, and clearly communicate findings. • Evidence of research and engineering ability through publications, shipped systems, open-source work, or substantial applied projects. • Experience in computer vision, audio processing, multimodal learning, media forensics, adversarial robustness, or model deployment under 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 within the United States.

Posted Nov 8, 2026