Senior CV/ML Engineer - Anti-Spoofing & Adversarial AI

LexisNexis Legal & Professional group; Sydney; Hybrid; AUD 120,000 - 170,000; Full time

Job summary

LexisNexis Risk Solutions’ IDVerse team seeks a researcher to advance identity verification, anti-spoofing, and deepfake detection at global scale.

You will design rigorous experiments, build CV/ML models, and evaluate defenses while collaborating with a globally distributed team. Based in Australia, you’ll translate research into production systems and contribute to secure risk solutions.

Qualifications

• Deep knowledge of computer vision and ML foundations.
• Ability to solve open-ended research and engineering problems.
• Strong Python and PyTorch or equivalent DL frameworks.
• Experience designing controlled experiments and evaluating models.
• Translate research concepts into production systems.
• Strong software engineering fundamentals including C/C++, CUDA, TensorRT, ONNX.
• Bachelor's or Master's in CS/ML/Mathematics/Engineering or equivalent.

Responsibilities

• Research and invent in computer vision, ML, biometrics, liveness, anti-spoofing, deepfake detection, and adversarial attacks.
• Red Team Mindset: develop attacks and robust defenses for our systems.
• Build advanced CV/ML models across image, video, and multimodal data.
• Own research from prototyping through deployment and evaluation.
• Push the state of the art and translate research into product improvements.

Skills

Computer vision

Machine learning

Deep learning

Python

PyTorch

C/C++

CUDA

TensorRT

ONNX

Education

Bachelor's or Master's in Computer Science / ML / Mathematics / Engineering

Tools

CUDA

TensorRT

ONNX

PyTorch

Job description

LexisNexis Risk Solutions’ IDVerse team seeks a researcher to advance identity verification, anti-spoofing, and deepfake detection at global scale.

You will design rigorous experiments, build CV/ML models, and evaluate defenses while collaborating with a globally distributed team. Based in Australia, you’ll translate research into production systems and contribute to secure risk solutions.