Machine Learning Engineer Intern
As a Machine Learning Engineer Intern, you will play a key role in designing and building machine learning models for our edge ML product. You will tackle challenges that let you apply your skills across software engineering, data science, computer vision and machine learning. By joining our team, you’ll help enhance the reliability and safety of our vehicles, directly contributing to their performance on the road. This is an opportunity to join the team during 6 months in a part-time internship. To put it into specifics you will:
- Build a cutting-edge machine learning product and see your model deployed on Voi vehicles worldwide.
- Build a machine learning product end-to-end, from dataset creation, PoC model development, edge ML optimisation, to model deployment and business impact measurement.
- Support production-grade models with a focus on reliability and scalability, and high performance.
- Collaborate with a world-class, cross-functional product team, learning from and supporting each other while aligning on priorities and business outcomes.
WHAT YOU NEED TO EMBARK:
We are looking for an ambitious and curious student looking to build a career in Machine Learning. In addition to being collaborative and fluent in English we believe the right person has:
- 1 year or less remaining on a Masters degree in Computer Science, Machine Learning, Robotics, or related field
- Strong programming skills in Python and experience using Git
- Knowledge in common machine learning techniques such as convolutional neural networks, transfer learning, object detection, has been applying models in frameworks such as PyTorch, TensorFlow, or scikit-learn
- Experience with edge computing or embedded coding is a plus.
WHY VOI?
Working at Voi is more than just a job; Our People Promise includes a personal Voiage 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 Europes #1 micromobility company
- Work with inspiring, motivated and fun colleagues towards a common goal
- Join the micromobility-revolution and be a part of creating sustainable cities made for living, free from noise and pollution
- Business area
- Research & Development
- Role
- Machine Learning Engineering
- Locations
- Stockholm
- Remote status
- Hybrid
- Employment type
- Part-time
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 100,000+ vehicles in 100+ towns and cities across 12 countries, serving 7+ million riders with over 300+ 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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