Lead Identity Verification & Fraud Research Scientist

Persona AI; San Francisco (CA); Presencial; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

3% 401(k) contribution

Unlimited PTO

Quarterly mental health days

Family planning benefits

Professional development stipend

Wellness benefits

Descripción de la vacante

Persona in San Francisco is seeking a dedicated Research Scientist to advance identity verification and fraud prevention. You will design experiments, study AI-generated imagery, and publish findings to help protect users and customers.

You’ll collaborate with ML and engineering, evaluate model risk across populations, and share insights at top conferences like CVPR and NeurIPS. A PhD or strong MS with a notable research record is preferred.

Formación

• PhD preferred; MS with strong research record also considered.
• Peer‑reviewed publications in relevant conferences/journals.
• Independent lead of research with rigorous experiments.
• Clear communication of design, results, and limitations to diverse audiences.

Responsabilidades

• Lead research on identity verification and fraud prevention with focused experiments.
• Develop methods to detect manipulated documents and AI-generated imagery.
• Evaluate model performance across populations.
• Uncover patterns in verification data to reveal real signals.
• Calibrate model confidence and evaluate with limited labeled data.
• Collaborate with ML/engineering to productionize research prototypes.
• Publish at top venues like CVPR, NeurIPS, USENIX Security.

Conocimientos

Computer vision

Mathematics & statistics

Identity verification

Fraud prevention

Educación

PhD in Computer Science/ML/Statistics

MS with exceptional research record

Descripción del empleo

Persona in San Francisco is seeking a dedicated Research Scientist to advance identity verification and fraud prevention. You will design experiments, study AI-generated imagery, and publish findings to help protect users and customers.

You’ll collaborate with ML and engineering, evaluate model risk across populations, and share insights at top conferences like CVPR and NeurIPS. A PhD or strong MS with a notable research record is preferred.