Applied AI Researcher

ABOUT THE ROLE 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. WHAT YOU'LL DO - 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. WHAT WE'RE LOOKING FOR - 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. COMPENSATION & BENEFITS Base salary is flexible based on experience and candidacy. The package includes a performance bonus and 0.25% to 1% equity. Visa sponsorship is available. LOCATION On-site in New York, New York, United States.