Job Specifications
Job description:
IDEMIA is the global leader in trusted identities, with the ambition to empower citizens and consumers to interact, pay, connect, travel, and vote in a connected environment. IDEMIA employs over 15,000 people from more than 80 nationalities and serves clients in 180 countries. The Research Unit at IDEMIA is responsible for developing all new technologies that will be included in all of IDEMIA's product lines. Composed of approximately 100 researchers and developers, the unit works on multiple application areas: facial recognition, fingerprint recognition, iris recognition, fraud detection, secure acquisition systems, video analysis, and document recognition and authentication.
The URT develops algorithms suited for multiple use cases:
Identity in the context of civil applications (elections, biometric documents, etc.)
Border control (fraud detection on documents or biometrics, facial recognition with comparison to passports and reality, etc.)
Law enforcement/Justice (identifying criminals, object identification in videos, etc.)
Access control (entry into buildings or any secure area)
Digital identity on smartphones (unlocking or payment using a smartphone with biometrics, opening a bank account remotely, etc.)
Embedded terminals or smart cards (payment with a biometric credit card, etc.)
Road safety (smart radars, etc.)
Key Missions
Litterature Review on CLIP-Base models (Siglip, AlphaClip, ...) and the dynamic of their distribution scores
Implementing Alignement method and finetuning for improving thresholded accuracy of CLIP-base models
Develops test strategies and methodologies to evaluate new or competing algorithms
Stays up-to-date on latest state of the art research and algorithm development methodologies
Collaborating with researchers to refine methodologies and contribute to the overall project goals
Documenting findings and presenting results to stakeholders
Profile description:
Education: Engineering student in the final year of the engineering cycle, or a Master's student (M2) specializing in computer vision, image processing, or Deep Learning.
Required Technical Skills:
Strong background in mathematics, data analysis, Python, and PyTorch
Ability to handle large-scale data and work in a research environment (exploring unfamiliar domains)
Knowledge in biometrics is a plus
Soft Skills & Languages:
Curious
Proactive and autonomous
Results- and solutions-oriented
Clear and convincing communication
Fluent spoken and written English
About the Company
As our world becomes increasingly digitally connected, personal identity and security only become more important. That's why protecting the identity of citizens is a top priority of private and public organizations worldwide. As a trusted partner to companies and government agencies for more than 60 years, our deep domain expertise in civil identity, public security, secure credentials, and commercial markets for biometric identification and document authentication is second to none. Our biometrics-based identity platform of...
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