Face Authentication ML Scientist: Liveness & Anti-Spoofing

Jobtailor; Dublin; On-site; EUR 70,000 - 100,000; Full time

Job summary

Jobtailor is seeking a skilled ML researcher to develop face authentication algorithms in Dublin. You will research and prototype methods for presentation attack detection and fraud prevention, and translate results into deployable models and policies.

The role requires hands-on work with PyTorch or TensorFlow, strong Python/C++ skills, and experience handling large datasets to meet performance and accuracy standards.

Qualifications

• Hands on experience in at least two of the areas listed below.

Responsibilities

• Developing machine learning algorithms for face authentication solutions.
• Researching, prototyping, and evaluating presentation attack detection and fraud prevention methods.
• Testing and configuring face algorithms to meet performance and accuracy standards.
• Running rigorous experiments, interpreting findings, and translating outcomes into deployable models and policies.

Skills

Machine Learning

Computer Vision

Deep Learning Frameworks

Python

C++

Data Preprocessing

Image Recognition

Liveness Detection

Anti-Spoofing

Experimental Methods

Education

Bachelor's/Master's/PhD in CS/EE/Math or related field

Tools

PyTorch

TensorFlow

Job description

Jobtailor is seeking a skilled ML researcher to develop face authentication algorithms in Dublin. You will research and prototype methods for presentation attack detection and fraud prevention, and translate results into deployable models and policies.

The role requires hands-on work with PyTorch or TensorFlow, strong Python/C++ skills, and experience handling large datasets to meet performance and accuracy standards.