Senior ML Engineer - Biometric Liveness & Security

RELX International; North Sydney; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible working arrangements

Health benefits

Learning and development resources

Job summary

RELX is seeking a Senior Software Engineer in Sydney to develop advanced liveness detection systems for biometric authentication. You will apply machine learning and deep learning to distinguish real interactions from fraudulent attempts, working with a talented team to push the boundaries of identity verification technology.

You will design robust ML models, engineer biometric features, and collaborate with data scientists to prepare large-scale datasets for training and production deployment.

Qualifications

• Deep learning model development experience.
• Strong ML/AI fundamentals (statistics, probability).
• Experience in biometric security or anti-spoofing is a plus.

Responsibilities

• Design liveness detection systems using AI algorithms.
• Develop and optimize deep learning models for spoofing detection.
• Engineer features from biometric data (texture, motion, 3D).
• Collaborate with data scientists to collect and preprocess large datasets.

Skills

ML frameworks (TensorFlow/Keras/PyT)”

Education

Bachelor's degree in CS/Math/related field

Tools

TensorFlow

Keras

PyTorch

Job description

RELX is seeking a Senior Software Engineer in Sydney to develop advanced liveness detection systems for biometric authentication. You will apply machine learning and deep learning to distinguish real interactions from fraudulent attempts, working with a talented team to push the boundaries of identity verification technology.

You will design robust ML models, engineer biometric features, and collaborate with data scientists to prepare large-scale datasets for training and production deployment.