Senior Software Engineer II

LNRS Data Services (Australia) Pty Ltd Company; Sydney; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Discounted Health plan rate

Life assurance

Flexible working arrangements

Learning and development resources

Annual leave options

Job summary

IDVerse, a Sydney-based startup, seeks a Senior Software Engineer to advance liveness detection systems for biometric authentication. You will leverage AI/ML to distinguish genuine interactions from fraudulent attempts and contribute to scalable, real-time security solutions.

The role requires deep learning expertise, strong Python/Java skills, and collaboration with data scientists and engineers. A passion for staying current with AI advances and security standards is expected.

Qualifications

• Advanced knowledge of machine learning and deep learning concepts.
• Experience building liveness/detection systems or biometric security expertise is preferred.
• Proficiency in Python or Java and data analysis.
• Strong collaboration with cross-functional teams including data scientists and software engineers.
• Familiarity with anti-spoofing standards and biometric security frameworks.

Responsibilities

• Develop liveness detection systems using AI to differentiate real vs fake biometric data.
• Build and optimize deep learning models for liveness detection.
• Perform feature engineering on biometric data including texture, motion, and depth cues.
• Collaborate with data scientists to collect and preprocess large training datasets.
• Implement real-time ML algorithms to process biometric streams and detect spoofing.
• Test and validate models against spoofing techniques; ensure robustness.
• Deploy systems to production with monitoring for accuracy and performance.

Skills

Analytical skills

Cross-functional collaboration

Biometric security knowledge

Machine learning fundamentals

Problem-solving

Education

Bachelor's degree in Computer Science, Mathematics or related field

Tools

TensorFlow

Keras

PyTorch

Python

Java

R

Job description

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 our 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 at 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.

Please ensure that your resume is kept between 1-2 and a max of 3 pages.

Responsibilities

• Liveness Detection System Design: Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data. This includes analyzing facial features, eye movements, and other physiological indicators.
• Deep Learning Model Development: 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.
• Feature Engineering: Identify and extract features from biometric data that are crucial for detecting spoofing attempts. This includes texture analysis, motion-based detection, and 3D depth analysis.
• Data Collection and Preprocessing: 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.
• Algorithm Implementation: Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts. This includes integrating multimodal approaches such as facial recognition, fingerprint scanning and iris recognition.
• System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios. Validate models against various spoofing techniques to ensure robustness.
• Monitoring and Maintenance: 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

• Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras or PyTorch. Experience in developing deep learning models is essential.
• Programming Skills: Proficiency in programming languages such as Python, Java or R for model development and algorithm implementation.
• Analytical Skills: Strong problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques.
• Collaboration Skills: 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.
• Bachelor's degree in Computer Science, Mathematics or a related field.
• Familiarity with anti-spoofing standards for biometrics 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:

• Discounted Health plan rate and Optical Assistance
• Life assurance and income protection
• Option to buy additional Annual Leave days
• Employee Assistance Program
• Flexible working arrangements
• Benefits for you and your family
• Access to learning and development resources
• Your recruiter will advise you on the full benefits package for 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.

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. USA Job Seekers: EEO Know Your Rights.

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