Senior Machine Learning Engineer

3 weeks ago

Manchester, United Kingdom NLP PEOPLE Full time

Simprints is a nonprofit tech company with a mission to radically increase transparency and effectiveness in global development. We build ethical, inclusive digital ID powered by biometrics to verify that health, aid, and services truly reach people. Simprints partners with organizations like Gavi to boost immunization rates in developing countries, Ministries of Health like Ghana on pandemic response, and NGOs like BRAC to deliver maternal healthcare. Studies have shown Simprints increases impact through real-time, precision data, for example increasing maternal health visits by 38% in Bangladesh or accurate HIV tracing by 62% in Malawi. Today we’ve worked in over 17 countries helping deliver health, aid, and finance to 2.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. It is absolutely imperative we find someone with Machine Learning skills who have worked on biometrics. This is a remote job; We are unable to support relocation or visa sponsorship.
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. This will include access to our codebase, documentation, and data. By your third month, you will be well on your way to defining requirements for creating machine-learning models for biometric data. 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
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
Working remotely with modern agile tools such as JIRA, Confluence
• Interest or has worked in contributing to open source projects
• Experience deploying machine learning models into the cloud (e.g. But don’t take our word for it—we’re an externally recognized Great Place to Work, part of the Flexa Top 100 Most Flexible Companies and a 2023 Best Workplace for Women.
• We champion a work culture where autonomy and trust are paramount, steering clear of mere face-time metrics. Ultimate work-life balance.
We also offer unlimited paid annual leave which allows you to prioritize your well-being.
Our commitment to this model’s success is solidified through semi-annual productivity assessments with our board, ensuring that our high standards of performance are consistently met.
• Professional development. We promote continual learning and put our money where our mouth is with development plans and access to global experts through the GLG network. We also have a generous professional development budget for each colleague – “Eduprints”. Is there some training you’d like or maybe you could benefit from professional coaching? We care about both your development in Simprints and your holistic long-term career goals. Simprints Alumni have gone on to work for Google, USAID, Gavi the vaccine alliance, Save the Children, and other top players.
We pride ourselves in our firm commitment to improving diversity, equity, and inclusion in our workplace. Language requirements:
Senior (5+ years of experience)
Tagged as: Industry , Machine Learning , NLP , Unspecified
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