Machine Learning Engineer Intern (Edge ML)

TL;DR

Machine Learning Engineer Intern (Edge ML): Designing and building machine learning models for edge-based micromobility products with an accent on computer vision and real-world deployment. Focus on end-to-end ML development, from dataset creation and PoC to edge optimization and production impact measurement.

Company

hirify.global is Europe’s leading micromobility operator focused on creating sustainable, noise-free, and pollution-free cities.

What you will do

• Build and deploy machine learning models on Voi vehicles across multiple markets.
• Develop end-to-end ML solutions, including dataset creation, PoC development, and edge optimization.
• Support production-grade models with a focus on reliability, scalability, and performance.
• Collaborate with a cross-functional product team to align on priorities and outcomes.
• Measure the real-world impact of deployed models on vehicle safety and performance.

Requirements

• Current enrollment in an MSc program in Computer Science, Machine Learning, Robotics, or a related field.
• Approximately one year or less remaining in your studies.
• Strong Python programming skills and experience with Git.
• Solid understanding of CNNs, transfer learning, and object detection.
• Hands-on experience with PyTorch, TensorFlow, or scikit-learn.
• Fluency in written and spoken English.

Culture & Benefits

• Opportunity to join Europe’s #1 micromobility operator and a fast-growing scale-up.
• Participation in the employee options program.
• Unlimited free Voi rides.
• Dog-friendly office environment.
• Collaborative culture focused on building sustainable urban solutions.