Job Description

Are you ready to lead the design of cutting-edge AI systems that stop identity fraud and protect millions of users worldwide?

Do you want to apply your deep learning expertise to real-world biometric challenges and shape the future of secure digital identity at a global scale?

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,

https://risk.lexisnexis.com

About the Team:

IDVerse is a Sydney-based start-up that is a global pioneer in the development of digital identity verification technology. We've built everything from the ground up and have a broad range of blue-chip customers across banking, telecommunications, government and more. We've perfected the technology locally in Australia and New Zealand and are quickly expanding into the northern hemisphere. Join a strong team of passionate engineers and build a world-class platform to fight identity fraud on a global scale.

About the Role:
The Senior Software Engineer focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes. This role involves utilizing machine learning and deep learning techniques to create models capable of distinguishing between genuine human interactions and fraudulent attempts.

Responsibilities:

• Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data including analyzing facial features, eye movements, and other physiological indicators.
• Build and optimize deep learning models specifically for liveness detection. This involves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
• Identify and extract features from biometric data that are crucial for detecting spoofing attempts including texture analysis, motion-based detection, and 3D depth analysis.
• Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models. Ensure data integrity and suitability for model development.
• Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts which includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
• Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios. Validate models against various spoofing techniques to ensure robustness.
• Deploy liveness detection systems into production environments, ensuring scalability and high performance. Continuously monitor system outputs to identify any issues with accuracy or efficiency.

Requirements:

• Bachelor’s degree in computer science, Mathematics, or a related field.
• In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch. Experience in developing deep learning models is essential.
• Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation.
• Problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques.
• Ability to work effectively with cross-functional teams (including data scientists, software engineers, and product managers) to achieve common goals.
• Experience in similar roles focusing on anti-spoofing or biometric security systems, such as NIST ISO/IEC 30107 or FIDO.
• Innovative mindset with a passion for continuous learning and keeping up with the latest advancements in AI and machine learning technologies.

Working for You:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Colorado, the base pay range is $115,400 - $192,300.
This job is eligible for an annual incentive bonus.
Application deadline is 06/20/2026.

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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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