Runna is revolutionizing the running training space with their innovative platform that helps everyday runners achieve their goals through personalized coaching and training plans. Recently selected as a finalist for Apple's 2024 iPhone App of the Year, they're experiencing rapid growth backed by a fresh $6.5M funding round.
As a Graduate Machine Learning Engineer, you'll join their cross-functional engineering team working on the core running engine that powers their platform. This is a unique opportunity to apply ML and data science skills to create dynamic, adaptive training plans that respond to user performance and recovery data. You'll work directly with the founders and CTO to shape the future of running technology.
The role combines technical ML engineering with practical impact - your work will directly help hundreds of thousands of active users improve their running performance. You'll collaborate with professional coaches to translate their expertise into algorithms, while using a data-driven approach to continuously optimize the training engine.
The tech stack includes Python for ML/backend work, with the broader platform using React Native for mobile apps, AWS serverless architecture, and modern tools like GraphQL and TypeScript. They emphasize best practices like continuous deployment, pair programming, and test automation.
This is an ideal position for a recent/upcoming graduate with strong Python and ML foundations who wants to apply their skills to build consumer-facing AI technology. The company offers competitive compensation (£42.5k + equity), flexible hybrid working from their Vauxhall office, and comprehensive benefits including health insurance and enhanced family leave.
Runna has ambitious plans to reach millions of subscribers in the next 5 years. Joining now offers the chance to make a foundational impact while working with a talented, collaborative team that's passionate about helping people achieve their fitness goals through technology.