Heidi
Australia
Senior AI Systems Engineer (Model Customization, Deployment & Customer Delivery)
- AI
- Cloud
- Machine Learning
L
Senior Computer Vision / Machine Learning Engineer
Full Remote
AI Summary
Leads research and development in computer vision, biometrics, and AI security to combat fraud via deepfakes, spoofing, and adversarial attacks. Builds advanced ML models, translates research into production, and pushes state-of-the-art solutions. Requires deep expertise in CV/ML, Python/PyTorch, and adversarial testing with a PhD or equivalent preferred.
Key Highlights
Research and develop cutting-edge solutions for fraud detection using computer vision, biometrics, and AI security.
Translate theoretical research into production-ready systems with a focus on adversarial robustness.
Collaborate in a remote, globally distributed team with a strong emphasis on innovation and experimentation.
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Key Responsibilities
Conduct research and develop novel approaches to combat fraud via deepfakes, spoofing, and adversarial attacks.
Design, train, and optimize deep learning models for image, video, and multimodal data.
Translate research into production systems, ensuring robustness and scalability.
Develop adversarial attacks and defenses to improve system security.
Stay updated with emerging research in computer vision and AI, reproducing and challenging promising ideas.
Technical Skills Required
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Nice to Have
PhD or equivalent research experience in CV/ML/AI.
Experience with biometrics, liveness detection, or adversarial ML.
Publications, patents, or significant open-source contributions.
Familiarity with biometric security standards (e.g., ISO/IEC 30107).
Job Description
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
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