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
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Investigate methods for deepfake detection, synthetic media analysis, and fraud prevention.
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Read, assess, and reproduce research, then identify approaches for further development.
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Design experiments, establish baselines, and evaluate models on realistic data.
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Implement research ideas and collaborate with engineering to bring successful methods into production.
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Analyze failure cases and improve model reliability, generalization, and computational efficiency.
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Document findings and contribute to research papers and technical writing.
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Work with team leaders to prioritize research around practical user needs.
What We're Looking For
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Strong foundations in machine learning, experimental design, and model evaluation.
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Experience building, training, and evaluating models with modern machine learning tools.
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A track record of translating research into working software and shipped production code.
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Ability to critically assess research papers, design experiments, and clearly communicate findings.
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Evidence of research and engineering ability through publications, shipped systems, open-source work, or substantial applied projects.
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Experience in computer vision, audio processing, multimodal learning, media forensics, adversarial robustness, or model deployment under latency and reliability constraints is valuable.
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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.
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