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. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. 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. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Senior Software Engineer (Computer Vision / ML Engineer).

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