Senior Software Engineer (Computer Vision / Ml Engineer)

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

Senior Computer Vision / ML Engineer

Full-time | Australia

About the Business

LexisNexis Risk Solutions helps organizations assess and manage risk across identity verification, fraud prevention, financial crime compliance, credit risk, and customer data management.

About Our Team

IDVerse builds identity verification technology to fight fraud at global scale. Our systems must stay effective against evolving attacks including spoofing, deepfakes, injection attacks, and AI-generated fraud. We are a team of researchers and engineers who think from first principles, experiment rigorously, and invent new approaches as we continuously improve our systems.

What You'll Do

• Research and invent: Investigate difficult problems in computer vision, biometrics, liveness, anti-spoofing, deepfake detection, generative AI, and adversarial attacks. Form hypotheses, run controlled experiments, and develop conclusions that can be trusted. Understand not only whether something works, but why it works, where it fails, and what to try next.
• Red Team Mindset: Develop novel presentation, injection, deepfake, synthetic-media, and AI generated attacks against our systems. Build adversarial evaluations, expose weaknesses, understand their underlying causes, and develop robust defenses.
• Build advanced CV/ML models: Design, train, evaluate, and optimize deep learning approaches across image, video, and multimodal data, applying techniques such as representation learning, transformers, generative models, 3D/geometric vision, where appropriate.
• Own research through production: Take ideas from research and prototyping through benchmarking, optimization, deployment, and real-world evaluation.
• Push the state of the art: Stay close to emerging computer vision and AI research, reproduce and challenge promising ideas, and identify opportunities to turn research advances into meaningful improvements to IDVerse products.

Required qualifications

• Deep knowledge of computer vision, machine learning, and deep learning, backed by strong foundations in mathematics, statistics, optimization, or related disciplines.
• Demonstrated ability to solve open-ended research and engineering problems, rather than only implementing established solutions.
• Strong experience with Python and PyTorch or equivalent modern deep-learning frameworks.
• Experience designing controlled experiments, analyzing model behavior and failure modes, and evaluating models against challenging datasets.
• Ability to translate research concepts into efficient, reliable production systems.
• Strong software engineering fundamentals. Experience with C/C++, CUDA, TensorRT, ONNX.
• Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline, or equivalent demonstrated expertise.

Highly Desirable

• PhD or equivalent research experience in computer vision, machine learning, AI, mathematics, or a related field.
• Publications, patents, significant open-source contributions, competition results, or other evidence of original technical or research contributions.
• Experience with biometrics, liveness / presentation attack detection, deepfakes, synthetic media, adversarial ML, or AI security.
• Red-team or adversarial research experience, particularly discovering novel ways to attack, manipulate, or stress-test ML/CV systems.
• Familiarity with biometric security and presentation-attack standards such as ISO/IEC 30107.

Location and collaboration

The team is globally distributed. Candidates must be based in Australia and have full working rights.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.