Applied AI Researcher: Synthetic Media & Fraud Detection

Clera; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Performance bonus

Equity (0.25%–1%)

Visa sponsorship

Job summary

Clera Labs, Inc. is seeking a research engineer to advance detection of synthetic media and digital fraud. You will explore AI methods, reproduce and assess research, design experiments, and work with engineering to deploy successful approaches into production.

The role requires deep learning experience with PyTorch, strong ML foundations, and expertise in computer vision and related security domains. You will contribute to research docs and drive practical research outcomes.

Qualifications

• MS or PhD in computer science, electrical engineering, or related field, or equivalent research experience.
• Strong ML foundations and experience building, training, evaluating models.
• Knowledge of computer vision: CNNs and vision transformers; tradeoffs at small params.
• Experience in synthetic media detection, image/video forensics, audio spoofing, generative models, or adversarial robustness.
• Ability to critically assess papers, design experiments, and turn research into shipped software.
• Evidence of research and engineering ability through production systems, publications, or open-source work.

Responsibilities

• Investigate AI methods for synthetic media detection, media forensics, and fraud prevention.
• Read and reproduce research, then assess approaches worth pursuing.
• Design experiments, establish baselines, and evaluate models on realistic data.
• Implement research ideas and collaborate with engineering to productionize approaches.
• Analyze failure cases and improve model reliability, generalization, and efficiency.
• Document methods and findings, contribute to technical writing, and prioritize research around practical needs.

Skills

PyTorch

Machine learning foundations

Computer vision (CNNs, vision tranform

Education

MS/PhD in CS/EE or equivalent

Job description

Clera Labs, Inc. is seeking a research engineer to advance detection of synthetic media and digital fraud. You will explore AI methods, reproduce and assess research, design experiments, and work with engineering to deploy successful approaches into production.

The role requires deep learning experience with PyTorch, strong ML foundations, and expertise in computer vision and related security domains. You will contribute to research docs and drive practical research outcomes.