High-Performance Biometrics Engineer

1 week ago

Sydney, New South Wales, Australia beBeeSpoofing Full time $120,000 - $180,000

**Job Title:** Senior Software Engineer

This position focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes.

We are seeking a skilled software engineer with expertise in machine learning, deep learning, and AI algorithms to join our team.

The ideal candidate will have experience in developing and optimizing deep learning models for liveness detection, as well as a strong understanding of statistical analysis and data preprocessing.

Responsibilities:

  • Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data.
  • Build and optimize deep learning models specifically for liveness detection, including selecting appropriate algorithms, conducting experiments, and optimizing model parameters.
  • Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
  • Implement machine learning algorithms capable of processing real-time biometric data to detect inconsistencies indicative of spoofing attempts.

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.

Benefits:

  • Lively working environment
  • Flexible work arrangements
  • Professional development opportunities

About Us:

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