Staff/Senior Machine Learning Engineer
YOUR MISSION AT VOI
As a Senior (Staff) Machine Learning Engineer, you will play a crucial role to design, build and maintain machine learning models for all our business areas. You will work on problems where you will get to utilize your skills in such interrelated disciplines as machine learning, software engineering, data science, data engineering as well as prompt and AI/API engineering. In the end, you will drive and contribute to solutions of some of our key problems around vehicle availability, reliability & safety, user experience personalisation and parking. You will primarily be working in a team focused on predicting the future demand for our vehicles. Specifically where and when they will be needed. Further, you will have a big impact on anticipating and acting early on a vehicle’s maintenance needs, which plays a key role in the good user riding experience.
Your responsibilities will include:
As an embedded member of a cross-functional product team, you will be responsible for end-to-end machine learning and AI projects. This includes everything from identifying business problems and formulating solution hypotheses, to defining data requirements, prototyping, implementing solutions in production, and measuring their business impact.
Maintain and improve Voi's machine learning platform to ensure our machine learning products adhere to state-of-the-art MLOps standards, with support from the team
Work with colleagues to improve team processes and support mutual learning and knowledge sharing
Further, for the staff level the responsibilities will include:
Actively contribute to setting strategy and goals on the R&D level, utilising both your strategic lens on engineering and deep understanding of business priorities.
Drive architecture and system design across multiple teams, influence strategic engineering decisions and direction across R&D
Work closely with product leadership to influence product direction, and translate that into the right strategic technical decisions for parts of the tech stack outside of their immediate team
Drive the advancement of ML and AI excellence throughout Voi, encompassing both skill development and refinement of processes and workflows.
WHAT YOU NEED TO EMBARK
We’re looking for a Machine Learning professional with experience from working in a fast-paced environment. In addition to being fluent in English, we believe the right person has:
Higher education in one of the mathematical sciences such as computer science, mathematics, physics, bioinformatics or with a similar, data centric, degree
A strong business sense with laser focus on business value and user impact
Fluency in Python and software engineering in general
Documented experience in developing production-quality software
Experience of working with real-time inference and/or MLOps in one of the major cloud environments
Experience of working on edge machine learning and computer vision is a bonus
Hands-on contribution to managing projects from start to finish – from tackling business challenges to planning, building, launching, and keeping an eye on the results.
WHY VOI?
Working at Voi is more than just a job; Our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to:
Join Europe's #1 micromobility company
Get “skin in the game” through our employee options program and be a part of building a world class organisation and a scalable ML function
Enjoy unlimited free Voi rides
Voi is a multicultural company with employees from all over the world, which is something we value deeply. With a flexible public holiday policy, you have the opportunity to choose which holidays, religious or cultural, you want to celebrate
We do hackdays and lab days to inspire growth and explore new solutions to problems. We hope to see creative ideas to tackle hard problems that you find important to solve with colleagues outside your inner team.
While everyone is encouraged to meet their colleagues at the office, we do have a hybrid setup when it comes to remote work in order to find the optimal work-life-balance.
Join the micromobility-revolution and be a part of creating sustainable cities made for living, free from noise and pollution

Stockholm
About Voi Technology
Since 2018, Voi has been on a mission to create safe, sustainable and reliable micromobility for everyone. Today we are the leading shared micromobility operator in Europe, with HQ in Stockholm (Sweden), operating 150,000+ vehicles in 110+ towns and cities across 13 countries, serving 8+ million riders with over 375+ MILLION rides to date, and we have no intention of stopping here! We believe that micromobility will play a central role in changing how people move in our towns and cities in the future and want to ensure that the micromobility transformation happens the right way - through real innovative technology, partnership and transparent dialogue with towns, cities and governments, and by adapting our products to the local needs. In addition to improving quality of life in cities around the world, we are contributing to the solution for climate change by making sustainable transportation options more widely available and promoting renewable energy use and circularity along our supply chain.
Diversity Matters
As a Voiager, we offer you a friendly, collaborative and fast-paced workplace where you can bring your whole self to work, regardless of gender, age, ethnicity, religion, disability or sexual orientation - and welcome applications from whoever you are, including veterans, those actively serving as a Reservist and their partners. What is most important to us is how you treat others and what skills and value you bring to our team. We believe that having a wide diversity of people with different backgrounds and perspectives within Voi is essential to our success in delivering the best user experience to our equally diverse user base. With employees from over 50 nationalities working within Voi, we believe we have made good progress but know we can still do more - therefore we discourage any photos, personal letters, or disclosure of any information that concerns other information than your professional experience.
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