Senior Software Engineer II

Talent Octopusventures; North Sydney Council; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Discounted Health plan rate and Opt 1

Life assurance and income protection

Annual Leave options

Flexible working arrangements

Learning and development resources

Job summary

IDVerse in Sydney, Australia, is building a world-class platform to fight identity fraud at a global scale. We seek a Senior Software Engineer to join a passionate team and deliver robust biometric verification solutions.

The role focuses on liveness detection, ML/DL model development, feature engineering, and production-grade deployment. You’ll work across AI teams to ensure robust performance and scalability.

Qualifications

• Machine learning frameworks (TensorFlow, Keras, PyTorch) experience is essential.
• Proficiency in Python, Java or R for model development.
• Strong statistical and data analysis skills.

Responsibilities

• Liveness Detection System Design using AI to differentiate real vs fake biometric data.
• Develop and optimize deep learning models for liveness detection.
• Feature engineering from biometric data and multimodal signals.
• Collaborate with data scientists to collect, clean and preprocess large datasets.
• Implement ML algorithms for real-time biometric processing.
• Test, validate and monitor systems in production environments.

Skills

Machine Learning

Python

Analytical Thinking

Team Collaboration

Biometric Security

Problem Solving

Education

Bachelor's degree in Computer Science or Maths

Tools

TensorFlow

Keras

PyTorch

Job description

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

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.

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

• 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

• Discounted Health plan rate and Optical Assistance
• Life assurance and income protection
• Option to buy additional Annual Leave days
• Employee Assistance Programプライ
• Flexible working arrangements
• Benefits for you and your family
• Access to learning and development resources

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.