Role Overview
What You'll Work On
- Build edge machine-learning models for Voi vehicles
- Work across dataset creation, prototyping and optimisation
- Support deployment and measure real-world model impact
Why This Role Matters
- Move edge-machine-learning ideas from raw data into models running on Voi vehicles
- Build datasets, prototypes and production-ready models, then optimise deployment for constrained vehicle hardware
- Measure real-world results with product and engineering colleagues and improve models accordingly
About the Organisation
Voi
Operates shared e-scooter services in cities across Europe, working under municipal licences and tenders. The Swedish company emphasises safety programmes and city partnerships, positioning its fleets as a complement to public transport for short urban journeys.
Location
Stockholm, Sweden
Required Skills
Current MSc enrolment in Computer Science, Machine Learning, Robotics or a related field, with around one year or less remainingStrong Python and Git skills, plus knowledge of CNNs, transfer learning and object detectionHands-on with PyTorch, TensorFlow or scikit-learnFluent English; production ML or backend deployment experience is advantageous
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