Machine Learning Engineer

Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.

Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.

We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!

The Opportunity

Incode is searching for innovative, well-rounded Machine Learning engineers to join our team. We're dedicated to crafting top-tier solutions for document analysis, risk assessment, and face liveness. As part of our team, you'll be pivotal in shaping and implementing cutting-edge machine learning components, spanning development and infrastructure domains. You'll also implement face liveness detection algorithms and develop solutions to ensure the integrity of biometric authentication systems, enhancing security and usability. Join us in a dynamic environment alongside seasoned, industrious professionals, fostering a culture of collaboration and innovation.

Responsibilities :

Develop innovative ML solutions for challenging business problems that are fundamental for Incode

Partner with product teams to analyze key business problems

Collaborate with data science and engineering teams to integrate and validate computer vision solutions end-to-end

Deliver enduring value in terms of software and modeling artifacts

Experience :

5+ years of experience in Deep Learning and Computer Vision

Fluency in Python

Comprehensive knowledge in PyTorch or Tensorflow

Creativity and curiosity for solving highly complex problems

• Additional benefits package according to location (401k, medical insurance, etc.)

Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team and are always looking for talented and passionate people from all backgrounds and walks of life.

We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

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