Research internship in deep learning (image recognition)
Since our founding, IDEMIA has been on a mission to unlock the world and make it safer through our cutting-edge identity technologies. Our technology leadership makes us the partner of choice for hundreds of governments and thousands of enterprises in over 180 countries, including some of the biggest and most influential brands in the world. In applying our unique expertise in biometrics and cryptography, we enable our clients to unlock simpler and safer ways to pay, connect, access, identify, travel and protect public places – at scale and in total security.
Our teams work from 5 continents and speak 100+ different languages. We strongly believe that our diversity is a key driver of innovation and performance.
Purpose
IDEMIA Public Security research unit develops the new technologies used in the group’s products to strengthen digital identity. Around 100 researchers work on facial, fingerprint and iris recognition, fraud detection, video analysis, and document authentication, with the goal of providing highly secure and easy-to-use solutions.
These technologies are used in many areas:
- Civil identity
- Border control
- Police and justice
- Access control
- Digital identity on smartphones
- Biometric cards and embedded devices
IPS also recruits excellent interns in Deep Learning and Computer Vision for 6-month internships. They take part in all steps of scientific research: reviewing the state of the art, preparing data, building models, running experiments, and sometimes contributing to publications or patents. The methods used include machine learning, deep learning (CNNs, GANs), Bayesian approaches, and computer-vision techniques for images and video.
Key Missions
- Review the state of the art in facial-quality assessment (pose, lighting, occlusion, eye openness, background, blur, etc)
- Collect and annotate representative datasets, using assisted tools such as foundation models or LLMs
- Build a robust evaluation framework with appropriate metrics reflecting real-world conditions
- Train models to estimate facial quality, respecting technical constraints (inference time, memory)
- Explore innovative approaches (e.g., diffusion models for synthetic data) to improve robustness
- Ensure fairness of facial-quality predictions across demographic groups
- Analyze and report model performance clearly
- Contribute to integrating the developed models into IPS biometric products
Profile & Other Information
- Engineering student finishing 3rd year or Master 2 student specializing in deep learning and computer vision
- Good knowledge of image processing, computer vision, deep learning (preferably with PyTorch)
- Strong background in mathematics and data analysis
- Proficient in Python (C/C++ is a plus)
- Experience with image processing libraries is a plus
- Curious
- Proactive and autonomous
- Results and solution-oriented
- Clear and convincing communicator
- Fluent in English, spoken and written additional language is a plus
- Willingness to contribute to the full algorithm lifecycle: design, implementation, integration, testing, optimization
By choosing to work at IDEMIA, you will join a unique tech company, offering a wide range of growth opportunities. You will contribute to a safer world, collaborating with an international and global community. We value the diversity of our teams and welcome people from all walks of life, regardless of how they look, where they come from, who they love, or what they think.
We deliver cutting edge, future proof innovation that reach the highest technological standards and we’re transforming, fast, to stay a leader in a world that’s changing fast, too.
At IDEMIA, people can develop their expertise and feel a sense of ownership and empowerment, in a global environment, as part of a company with the ambition and the ability to change the world.
Visit our website to know more about the leader in Identity Technologies