Senior Computer Vision & ML Engineer — Remote AU

Relx Plc; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Job summary

IDVerse, part of LexisNexis Risk Solutions, is hiring a Senior Software Engineer focused on computer vision and ML. You will research, prototype, and evaluate advanced CV/ML techniques across image and video data, with an emphasis on biometrics, liveness, and anti-spoofing.

The role is remote in Australia with global collaboration; you'll push state-of-the-art models into production, design robust experiments, and work with researchers and engineers to defend against AI-enabled fraud.

Qualifications

• Deep knowledge of computer vision and machine learning fundamentals.
• Strong track record solving open-ended research problems.
• Experience turning research into production systems.
• Strong Python and deep learning frameworks experience.
• Ability to design controlled experiments and analyze model behavior.

Responsibilities

• Research and invent in CV/ML, antispoofing, deepfake detection, and adversarial ML.
• Develop and deploy CV/ML models for productionIDVerse systems.
• Conduct controlled experiments and report results with rigorous methodologies.
• Stay updated with state-of-the-art CV/AI research and translate into improvements.

Skills

Python

PyTorch

C/C++

CUDA

TensorRT

ONNX

Mathematics

Statistics

Experiment design

Production systems

Education

Bachelor's or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Tools

CUDA toolkit

PyTorch Lightning

Job description

IDVerse, part of LexisNexis Risk Solutions, is hiring a Senior Software Engineer focused on computer vision and ML. You will research, prototype, and evaluate advanced CV/ML techniques across image and video data, with an emphasis on biometrics, liveness, and anti-spoofing.

The role is remote in Australia with global collaboration; you'll push state-of-the-art models into production, design robust experiments, and work with researchers and engineers to defend against AI-enabled fraud.