[Hiring] Senior Software Engineer @RELX

Role Description

The Senior Computer Vision / ML Engineer will be responsible for:

• 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.
• 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, and 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.

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.

Requirements

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

Location and Collaboration

• The team is remote and globally distributed.
• Candidates must have full working rights in Australia.