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ID R&D Reseacher
hace 2 semanas
Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at .
At Mitek, we believe that teams are stronger and more innovative when they have the range of opinions and perspectives that come from diversity. Very simply, we know that diversity is a foundational strength for our organization. A diverse workforce makes for stronger teams as a wider breadth of thinking and experience broadens the power of our collective mind. Building stronger teams is foundational to serving our customers comprehensively, innovating our products and solutions, and enabling more impactful decision-making across our business.
We are Virtual 1st Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working.
What you will do
Propose a structure for a reinforcement learning system that can simulate real-world scenarios of attempts to evade facial liveness systems. Using the reinforcement learning system, simulate different image transformations, taking into consideration the multiple parameters each transformation can have. Evaluate the performance of the system in detecting these transformations. Optimize and Iterate: continuously refine the reinforcement learning system, iterating over different transformations and making adjustments to improve detection effectiveness. Prepare a presentation to communicate your findings, showing how the reinforcement learning system enhances the ability of facial recognition systems to defend against spoofing attacks.
Desired studies, skills and experience
Being a student in Computer Science or related IT studies Some knowledge and experience in computer vision, machine learning, or image processing. Good Python3 programming skills. Fluency in written and spoken English (you will use it on a daily basis for internal communication). Experience in one or more deep learning frameworks: TensorFlow or Pytorch. Familiarity with Linux/Docker/Git. A willingness to learn and strong communication skills. Live within a commutable distance of our office near Barcelona (you'll need to ocme to the office 2/3 days per week)
What we offer you
An internship with a flexible start and duration (between 3 to 6 months), with possibilities of extension (depending on the university agreement and student availability). Participate in relevant initiatives, learning and using the latest IT stacks in AI/ML and Computer Vision. Be part of a cutting-edge Tech company (ID R&D) that belongs to one of the global players in the ID verification industry, committed to pushing the boundaries of AI and biometrics. We encourage all our team members to engage in scientific publications based on their work and actively participate in challenges. Our teams were rated in the top 10 for Kaggle Deepfake detection, showcasing our expertise and dedication to excellence. Competitive monthly economic support and time flexibility. €6 - €10 a hour
Economic support aid can vary depending on the university agreement and number of hours per week.
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