Machine Learning Engineer (Biometrics) - Remote

Job Description

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 >2.5M people. Our goal is to transform the way the world fights poverty, ensuring that every vaccine, every dollar, and every public good reaches the people who need them most.

About the Role

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.

It is absolutely imperative we find someone with Machine Learning skills who have worked on biometrics. If you have no experience working on biometrics, please do not apply for this role.

Location

This is a remote job; we are currently only able to take forward applicants based in the UK, Bulgaria, Romania, Hungary, Poland, Croatia, Ukraine, Latvia, Spain, Netherlands and Germany. The candidate must have the right to work in one of these countries.

We are unable to support relocation or visa sponsorship.

If you are not based in one of these countries, please do not apply for this role.

Salary

UK Grade 6: £55,000 - £75,000 with a cost-of-living adjustment for non-UK residents

Your Impact

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.

Role Responsibilities

• 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

What are the “must-have” skills and experience for this role?

• 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

What are the "nice to have" skills and experience for this role?

• 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. GCP)

Benefits

5 Reasons to Join Simprints

Life is short. We believe work should be inspirational, meaningful and fun. At Simprints, we’re taking on global development’s biggest challenges, powered by an amazing culture and incredible people. Work with us, and you will grow faster, learn more, and take on great responsibilities with the potential to make lasting change.

• 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 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.

• Mutual Flex. We champion a work culture where autonomy and trust are paramount, steering clear of mere face-time metrics. Whether it's managing life's essentials like healthcare appointments or adapting work hours to match your peak productivity times, we've got you covered. In return, we count on your reciprocal flexibility when mission-critical moments arise, like stepping up for a crucial client discussion on a Friday or tackling unexpected technical glitches beyond regular hours.

• Ultimate work-life balance.
  a. We offer a 4-day workweek, meaning everybody has the option to have Fridays off.
  b. We also offer unlimited paid annual leave which allows you to prioritize your well-being.
  As long as you're driving results and fostering teamwork, we encourage you to strike that perfect balance between your professional and personal life. 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? Simply provide a business case that shares your aspirations and the resources you need, and we'll do our best to support you. 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.

Simprints is an equal-opportunity employer. We pride ourselves in our firm commitment to improving diversity, equity, and inclusion in our workplace. We aim to attract, hire, grow, and retain the most qualified candidates regardless of race, gender, ability, religion, nationality, age, sexuality, and other differences. We encourage interested and suitable candidates who are part of underrepresented groups to apply for this position.

We are recruiting on a rolling basis for this role. With that in mind, we advise candidates to apply as soon as possible as we will be reviewing applicants on a first come, first served basis. This vacancy will be closed once a suitable candidate is identified.