Senior Software Engineer II
- Compensation
- Not disclosed
- Location
- North Sydney, NSW
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- 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.
Full 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.