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 remote and globally distributed. Candidates must have full working rights in Australia.
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