[Hiring] Senior Software Engineer @Nextens

Role Description

As a Senior Computer Vision / ML Engineer, you will:

• 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.

Benefits

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.

Company Description

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