We are a cutting-edge palm-based biometrics company at the forefront of developing innovative solutions for secure and efficient identity verification. Our technology leverages advanced machine learning and computer vision techniques to provide accurate and scalable biometric authentication systems.

In Short

Seeking a highly skilled Machine Learning / Computer Vision Engineer.
Strong background in biometrics, deep learning, and computer vision required.
Blend of theoretical knowledge and practical experience needed.
Experience with CNNs, Siamese Networks, and advanced loss functions.
Proficiency in RESTful API development and AWS services.
Hands-on experience with Docker, Git, and Linux environments.
Ability to develop algorithms for image quality assessment.
Experience with advanced neural network architectures.
Strong problem-solving skills and ability to optimize algorithms.
Excellent communication skills and a team player.

Requirements

5+ years of experience in ML and CV solutions.
Strong proficiency in Python and relevant ML/CV libraries.
Solid understanding of RESTful API development.
Experience with AWS, Kubernetes, and PostgreSQL.
Familiarity with Docker, Git, and Linux.
Strong analytical and problem-solving skills.

Benefits

Inclusive, global, remote-first workplace.
Opportunity to work with cutting-edge technology.
Collaborative team environment.
Focus on diversity and unique perspectives.

Keyo

Keyo is a forward-thinking company dedicated to creating a world where biometric technology enhances convenience without sacrificing privacy or personal freedom. Their innovative solutions enable businesses to implement biometric authentication seamlessly, allowing users to perform everyday tasks like clocking in, making payments, and accessing secure areas with ease. With a remote-first approach, Keyo embraces a diverse global workforce, fostering an inclusive culture that values unique perspectives and experiences. As they continue to grow, Keyo is committed to building a workplace that reflects the diversity of its users and encourages new ideas to drive their vision forward.

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