Applied AI Researcher

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.

Responsibilities

• 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.

Requirements

• 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.
• Comfort taking ownership of open-ended problems in a small team.

Preferred

• Experience in computer vision, audio processing, multimodal learning, media forensics, adversarial robustness, or model deployment under latency and reliability constraints is valuable.

Pay

Compensation is discussed during the hiring process. Visa sponsorship is available.

Location

Remote within the United States.