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Research Engineer At IDEMIA

Location: Vancouver, British Columbia

Job Description

IDEMIA is the global leader in identity and security. Our mission is to create a safe and simple future where identity verification is indisputable, and only you can assert your identity. We are a distributed company leveraging the latest technologies to deliver world-class products in the private and public sectors of finance, telecom, identity, security, retail, sports entertainment, commercial, government, and IoT. We use a variety of technologies and approaches to deliver quality product and services to government agencies and technology companies. IDEMIA is a made up of a group of 14,000 diverse people from different nationalities, speaking over 20 different languages. Together, our solutions impact the everyday lives of citizens and nations. In this ever-changing world, protecting your identity is paramount. Join the team that is ensuring one person- one identity.


The Research and Technology Unit of IDEMIA is responsible to develop any new technologies, which will be included in all the product portfolio range of IDEMIA, which allows providing Augmented Identity.

Composed of more than 100 researchers, the unit is working on multiple fields of application: facial recognition, fingerprint recognition, iris recognition, fraud detection, acquisition systems, video analysis, document recognition and authentication and secured acquisition systems.

All these technologies are developed to be the best in class in the world but also friction less and easy to use for the final user.

  • Design and Organize data acquisition campaign
  • Build data flow ( collect, clean, pre-process, data-augmentation, weak labels … )
  • Maintenance of machine learning environment ( gpu servers, tensorflow versions … )
  • Study and development of machine learning algorithms
  • Algorithm optimizations
  • Measure and performance analysis
  • Expertise to analyze issues encountered on the field
  • Support to operational teams to define best customized solutions for some specific customers
  • Integration in different factor forms ranging from professional hardware to smartphone

Required Skills

Education: Master or Engineering Schools with a first significant experience in data processing / machine learning

Expert in a Deep Learning Framework (ideally with TensorFlow), C, shell, Python.

Capacity to handle a large quantity of data and to work in a research environment, ie an unknown field

Knowledge in GDPR and biometry will be a plus.

Natural curiosity and autonomy is mandatory

English fluency is required as well as French communication capability.


Required Experience