(19/10/2025) Senior Software Engineer Ii

Senior Software Engineer II - Anti-Spoofing Liveness Detection Shape the Future of Biometric Security with Us Are you excited by the opportunity to create innovative software that makes a positive difference for people and communities Do you value collaboration enjoy supporting the growth of others and approach challenges with creativity and determination About the Business LexisNexis Risk Solutions is a leading partner in risk assessment Within our Business Services division we deliver solutions that empower organizations of all sizes to achieve revenue growth streamline operations and enhance customer experiences Our technologies play a critical role in anti-money laundering and counter-terrorist financing identity authentication and verification fraud and credit risk mitigation and customer data management Learn more about LexisNexis Risk at About the Team Join a diverse and welcoming team of engineers passionate about building a world-class platform to address identity fraud on a global scale We believe that everyone brings unique perspectives and strengths and we encourage applications from people of all backgrounds and experiences About the Role As an Anti-Spoofing Liveness Detection Engineer you will help design and develop advanced systems to detect and prevent spoofing attacks in biometric authentication You will apply machine learning and deep learning to distinguish genuine interactions from fraudulent ones ensuring secure and accessible digital experiences for all users Responsibilities Design and develop liveness detection systems using AI algorithms to separate real from fake biometric data analyzing features such as facial characteristics eye movements and other physiological signals Build and optimize deep learning models tailored for liveness detection selecting and refining algorithms to achieve high accuracy and reliability Engage in feature engineering by identifying and extracting important patterns from biometric data including texture analysis motion-based detection and 3D depth analysis Work with data scientists and team members to collect clean and prepare large datasets for model training ensuring data quality and representativeness Implement machine learning algorithms to process real-time biometric data integrating multiple modalities like facial recognition fingerprint scanning and iris recognition Test and validate liveness detection systems thoroughly to ensure strong performance in real-world situations and validate models against a variety of spoofing techniques Deploy monitor and maintain liveness detection systems in production ensuring scalability and high performance Proactively identify and address any accuracy or efficiency issues Requirements Understanding of machine learning frameworks such as TensorFlow Keras or PyTorch Experience developing deep learning models Programming skills in Python Java or R or similar languages for model development and algorithm implementation Strong analytical and problem-solving abilities with a familiarity with statistics probability and data analysis techniques Ability to work collaboratively with cross-functional teams including data scientists software engineers and product managers to achieve shared goals Preferred but Not Required Experience in anti-spoofing or biometric security systems Familiarity with standards such as NIST ISO IEC 30107 or FIDO A passion for continuous learning and keeping up with the latest advancements in AI and machine learning We are committed to creating an accessible and supportive workplace If you need reasonable accommodation s to participate in the application process or to perform this job please let us know We value every candidate s potential and welcome applications from all qualified individuals including those from underrepresented and non-traditional backgrounds Learn more about the LexisNexis Risk team and our culture 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 or please contact 1-855-833-5120 Criminals may pose as recruiters asking for money or personal information We never request money or banking details from job applicants Learn more about spotting and avoiding scams Please read our 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