Senior Computer Vision & ML Engineer - Australia

Lexisnexis Risk Solutions; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

IDVerse is seeking a Senior Computer Vision / ML Engineer in Australia to research and develop advanced CV/ML models for identity verification, anti-spoofing, and adversarial defense. You will work on deep learning, transformers, and multimodal data, deploying solutions into production and evaluating robustness against adversarial attacks.

You will collaborate with researchers and engineers, perform controlled experiments, push state-of-the-art methods, and translate research into real-world

Qualifications

• Strong foundation in computer vision, ML and DL with solid math/stats basics.
• Ability to solve open-ended research and engineering problems.
• Proficiency in Python and modern DL frameworks (PyTorch).
• Experience designing controlled experiments and evaluating models.

Responsibilities

• Research and invent in CV, biometrics, liveness, anti-spoofing, and deepfake detection.
• Develop novel adversarial assessments and defenses for systems.
• Build and optimize deep learning models for image, video, and multimodal data.
• Move ideas from research to production with benchmarking and deployment.
• Stay abreast of CV/AI state-of-the-art and translate ideas into product improvements.

Skills

Computer vision

Machine learning

Deep learning

Mathematics

Statistics

Optimization

Python

C/C++

CUDA

PyTorch

TensorRT

ONNX

Education

Bachelor's or Master's in CS/ML/Math/Engineering

Tools

Python

PyTorch

C/C++

CUDA

TensorRT

ONNX

Job description

IDVerse is seeking a Senior Computer Vision / ML Engineer in Australia to research and develop advanced CV/ML models for identity verification, anti-spoofing, and adversarial defense. You will work on deep learning, transformers, and multimodal data, deploying solutions into production and evaluating robustness against adversarial attacks.

You will collaborate with researchers and engineers, perform controlled experiments, push state-of-the-art methods, and translate research into real-world