Senior Machine Learning Engineer (Applied Scientist Document Fraud)

About the job

Some of the challenges are to detect physical and digital forgeries, extract textual and visual data from identity documents, evaluate photo content and quality, detect user impersonation attempts, verify legitimate users through facial recognition, and make complex verification data easy for our customers to use and understand.

You will take ownership of document fraud R&D and be responsible for developing document anti‑spoofing methods through all process stages until a new feature is deployed into the product.

This is a key role helping our product team as an applied scientist with a strategic mind and high research orientation, and first line of developing document anti‑spoofing features.

Role responsibilities

This role would require you to do the following on a daily basis:

• Formulate innovative approaches to combat document fraud and reduce risk with the powers of ML.
• Create new features, train...