Senior Research Scientist

Join our team as a Senior Research Scientist, where you'll tackle the critical challenge of online identity verification and fraud detection. Your research will focus on detecting AI-generated and manipulated images, understanding model performance across populations, and uncovering patterns in attacker behavior. You'll collaborate with our ML and engineering teams to turn your findings into real-world defenses and have the opportunity to publish your work in top venues.

Independently lead research, design rigorous experiments, and use results including negative or unexpected findings to guide next steps

Responsibilities

• Lead research on open problems in identity verification and fraud prevention, using focused experiments to test new ideas quickly.
• Develop methods to detect manipulated documents, AI-generated images and emerging fraud attacks.
• Partner with ML and engineering to turn research prototypes into production models.
• A demonstrated record of peer-reviewed publications in relevant conferences or journals, with substantive contributions to the research

Requirements

Deep expertise in one of the following

• Computer vision: research in image forensics, face analysis, generative models or representation learning
• A PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related technical field is strongly preferred. We will also consider candidates with an MS and an exceptional research record
• Identity or fraud prevention: Experience researching identity verification, biometrics, fraud detection, out-of-distribution detection, adversarial behavior, or closely related security problems
• Mathematics and statistics: strong foundation in areas such as probability, statistical inference, optimization, or applied mathematics, with experience applying it to empirical research
• Clear communication, including the ability to explain experimental design, findings, and limitations to technical and non-technical audiences
• Research on deepfakes, presentation attacks or adversarial robustness
• Experience with noisy, imbalanced real-world data

Preferred

• Experience shipping ML research to production

Pay

USD 190,000 - 250,000