Applied AI Researcher

New York, Remote. Posted 6 days ago

The role

You will investigate methods for detecting synthetic media and digital fraud. You will translate effective research into production software.

Investigate AI methods for synthetic media detection, media forensics, and fraud prevention.
Read and reproduce research and assess approaches.
Design experiments, establish baselines, and evaluate models on realistic data.
Implement research ideas and collaborate with engineering to bring approaches into production.
Analyze failure cases and improve model reliability, generalization, and computational efficiency.
Document methods and findings.
Contribute to technical writing.
Prioritize research around practical needs.

At least 3 years of experience training deep learning models in PyTorch, including taking at least one model from concept to production.
An MS or PhD in computer science, electrical engineering, or a related field, or equivalent research experience.
Strong machine learning foundations and experience building, training, and evaluating models.
Computer vision knowledge, including CNNs and vision transformers, and the tradeoffs between them at small parameter counts.
Experience in at least one relevant area: synthetic media detection, image or video forensics, audio spoofing detection, generative models, or adversarial robustness.
Ability to critically assess research papers, design experiments, communicate findings clearly, and turn research into shipped software.
Evidence of research and engineering ability through production systems, publications, open-source work, or substantial applied projects.

clera is a digital trust and security company.