Applied AI Researcher

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.