Applied AI Researcher

New York · Remotefull timeRemotemidH1B: yes

Clera Applied AI Researcher at Clera to investigate synthetic media detection and translate research into production software. Focus on designing experiments, evaluating models, and improving model reliability and efficiency.

Responsibilities

Join a small research and engineering team at a digital trust and security company. You will investigate methods for detecting synthetic media and digital fraud, then help translate effective research into production software.
Investigate AI methods for synthetic media detection, media forensics, and fraud prevention.
Read and reproduce research, then assess which approaches are worth pursuing.
Design experiments, establish baselines, and evaluate models on realistic data.
Implement research ideas and collaborate with engineering to bring successful approaches into production.
Analyze failure cases and improve model reliability, generalization, and computational efficiency.
Document methods and findings, contribute to technical writing, and prioritize research around practical needs.

Qualification

An MS or PhD in computer scienceComputer vision knowledge

Required

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.