Senior Computer Vision / ML Engineer

We are seeking a Senior Computer Vision / ML Engineer to join our IDVerse team, which builds identity verification technology to fight fraud at a global scale. As a Senior Computer Vision / ML Engineer, you will research and invent new approaches to tackle difficult problems in computer vision, biometrics, liveness, anti-spoofing, deepfake detection, generative AI, and adversarial attacks. Responsibilities: Research and investigate difficult problems in computer vision, biometrics, liveness, anti-spoofing, deepfake detection, generative AI, and adversarial attacks Develop novel presentation, injection, deepfake, synthetic-media, and AI-generated attacks against our systems Build advanced CV/ML models using deep learning approaches across image, video, and multimodal data Own research through production, taking ideas from research and prototyping through benchmarking, optimization, deployment, and real-world evaluation Push the state of the art, staying close to emerging computer vision and AI research, reproducing and challenging promising ideas, and identifying opportunities to turn research advances into meaningful improvements to IDVerse products Requirements: 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 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, with experience in 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 Benefits: We are delighted to offer country-specific benefits. Please click here to access benefits specific to your location. Location and Collaboration: The team is globally distributed. Candidates must be based in Australia and have full working rights. Job Data by YubHub .