About Us:
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.
Job Description:
We are seeking a highly skilled and experienced Machine Learning / Computer Vision Engineer to join our dynamic team. The ideal candidate will have a strong background in biometrics, deep learning, and computer vision. This role requires a blend of theoretical knowledge and practical experience in implementing state-of-the-art ML/CV algorithms.
Skills Required:
- Deep understanding of Convolutional Neural Networks (CNNs) and Siamese Networks, including their architecture and applications in biometrics.
- Expertise in implementing and optimizing advanced loss functions, particularly Triplet Loss. Proficiency in addressing practical challenges in Siamese Networks, such as model collapse etc.
- Proficiency in RESTful API development using FastAPI.
- Hands-on experience with AWS services, Kubernetes, and PostgreSQL databases.
- Hands-on experience with Docker, Git, and Linux environments.
- Knowledge of recent advancements in AI/ML, particularly in the fields of biometrics and computer vision.
- Ability to develop algorithms for assessing the quality of images.
- Experience in designing and optimizing solutions for performance and scalability.
- Experience with advanced neural network architectures, including GANs and Auto-Encoders.
- Understanding of Generative AI techniques and their application in addressing data scarcity issues.
- Background in implementing security measures for data privacy and security.
Required Qualifications:
- 5+ years of experience in developing and deploying machine learning and computer vision solutions.
- Strong proficiency in Python and relevant ML/CV libraries (PyTorch, OpenCV).
- Solid understanding of RESTful API development using FastAPI.
- Experience with AWS services, Kubernetes, and PostgreSQL databases.
- Familiarity with Docker, Git, and Linux environments.
- Strong problem-solving skills and ability to optimize algorithms for performance and scalability.
Personal Qualities:
- Excellent communication skills and a team player.
- Self-motivated and able to work independently as well as in a collaborative team environment.
- Strong analytical and problem-solving skills.
- Passionate about taking up new challenges and owning the pipeline.
Confidence Gap
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
About Keyo
We are building a company that reflects the world in which we want to live. One where we can enjoy the convenience of biometrics without compromising our privacy or personal freedom. To make this a reality, our technology allows businesses of all kinds to adopt biometric authentication quickly and easily. With Keyo, people are clocking into work, paying for a coffee, and unlocking doors with a wave of their hand. Our team is remote first, by design. Our talented employees work from all over the world because we want Keyo to reflect the people who use it: global citizens who bring their diverse perspectives to solve unique problems.
We are at an exciting juncture and looking for new voices and ideas to continue building our vision for the company. Keyo believes that the things that make us unique are our greatest strengths. We have an inclusive, global, remote-first workplace that comprises people from all different lifestyles, backgrounds, abilities, and nationalities.
Please note: Keyo is undergoing SOC2 compliance and performs background checks, and provides security training to team members.