Senior Software Engineer II

LexisNexis Risk Solutions
Australia
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Collaboration","Problem-solving","Communication"]

Senior Software Engineer II focused on developing liveness detection systems for biometric authentication, leveraging machine learning and deep learning to distinguish real user interactions from spoofing attempts. You will build and optimize AI-based models, engineer features from biometric data, collaborates with data scientists, and deploy scalable systems for production use across secured identity verification workflows.

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LexisNexis Risk Solutions
LexisNexis Risk Solutions
6 months ago

Senior Software Engineer II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 days agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Senior Software Engineer II focused on developing liveness detection systems for biometric authentication, leveraging machine learning and deep learning to distinguish real user interactions from spoofing attempts. You will build and optimize AI-based models, engineer features from biometric data, collaborates with data scientists, and deploy scalable systems for production use across secured identity verification workflows.
Location: Australia
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Liveness detection system design: Develop AI-based systems to differentiate real vs. fake biometric data by analyzing facial features, eye movements, and other physiological indicators.
  • •Deep learning model development: Build and optimize deep learning models for liveness detection, selecting algorithms and tuning parameters for accuracy.
  • •Feature engineering: Identify and extract biometric features such as texture, motion, and 3D depth analysis to detect spoofing attempts.
  • •Data collection & preprocessing: Collaborate with data scientists to collect and prepare large datasets for model training, ensuring data integrity.
  • •Algorithm implementation & production: Implement ML algorithms for real-time biometric data processing and deploy systems with monitoring for performance.

Pay and Benefits

Perks:Health InsuranceLifeLeaveLearningRemoteFamilyWellness Stipend

Key Requirements

  • •Machine learning expertise with experience in frameworks such as TensorFlow, Keras, or PyTorch for developing deep learning models.
  • •Programming proficiency in Python, Java, or R for model development and algorithm implementation.
  • •Strong analytical skills with solid grasp of statistics, probability, and data analysis techniques.
  • •Ability to collaborate effectively with cross-functional teams including data scientists, software engineers, and product managers.
  • •Experience in anti-spoofing or biometric security systems.
Experience:Biometric securityAI/MLIdentity verificationRisk solutions
Education:Bachelor's
Skills:CollaborationProblem-solvingCommunication
Tech Stack:TensorFlowKerasPyTorchPythonJavaRBiometricsLiveness detection

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn