Machine Learning Engineer (Biometrics) - Remote

March 27

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Simprints

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Building technology to radically increase transparency and effectiveness in global development.

Biometrics • Mobile Healthcare

11 - 50

Description

• As a Machine Learning engineer, you will be part of a remote-first agile team responsible for the end-to-end pipeline for our Machine Learning models in biometrics. This involves designing, developing, and deploying machine learning models. You will be a developing domain expert and expected to help influence the direction of Simprints development. You will partner with data scientists and engineers to develop and implement machine-learning solutions for real-world problems. Working with product managers, you will establish requirements and develop innovative solutions to the most complex challenges. • You will be working with a highly skilled set of engineers. As the business and team have grown rapidly, so has the emphasis on creating a team and structure that can enable us to continue to create innovative solutions and products. • At Simprints, we want everyone to feel ownership of the tasks they are working on, starting from your first day. As a Senior Machine Learning Engineer, you will be given a “north star” in the shape of a KPI (Key Performance Indicator) or goal, and you will be asked to devise a strategy to get there. In your first month, you will be given the resources you need to set up your environment and start learning about the Simprints biometrics platform. This will include access to our codebase, documentation, and data. You will have the opportunity to liaise with other Simployees to gain a good overview of the company and our goals. By your third month, you will be well on your way to defining requirements for creating machine-learning models for biometric data. This will involve understanding the current state of the solution, identifying areas for improvement, doing intensive research and gathering stakeholder feedback. In six months, you will have a high degree of autonomy in putting your ideas into practice. This will involve working with our team to define the system architecture, select the appropriate technologies, and implement the solution. • Design, develop, release and maintain reliable, secure and scalable open-source biometric algorithms (e.g. face recognition) • Implement reliable, secure, and scalable ML frameworks • Work cross-functionally with other squads (Android and Backend) in the product and engineering team to design and develop ML products that work for our context • Use agile software development principles/MLOps practices to build training pipelines and infrastructure together with our Backend team • Be active in the Best Practice Ambassador community, including senior data scientists & ML engineers

Requirements

• A passionate problem solver who can help us find a way to achieve our mission • PhD in Computer Science/Engineering • History of applying machine learning to in a biometric setting (facial recognition, fingerprints, etc) • Deep understanding of Computer Vision and other ML areas, algorithms and frameworks • Solid understanding of the full software development lifecycle, including application architecture design • Experience working within a team with a focus on code quality, where testing, code reviews, and continuous integration are the norm

Benefits

• Genuine Impact. Work directly with our partners and users to deliver technology that has the potential to impact millions of lives across the globe. At Simprints, you’ll be part of a team that is passionate about driving real change. • An incredible, diverse team. Our work is at the intersection of technology and global development, and we’ve managed to build an amazing team drawn from all over the world. But don’t ta