Runna is revolutionizing the running training landscape by building the #1 training platform for Runners. Recently securing £5M in funding and being selected as a finalist for the 2024 iPhone App of the Year, we're on a mission to help everyday runners achieve extraordinary results. Our platform provides world-class training and coaching through iOS, Android, and Apple Watch apps, syncing with various fitness devices.
As a Graduate Machine Learning Engineer, you'll join our Cross-Functional Engineering Team to build the next generation running engine. You'll work on developing and optimizing algorithms for personalized, adaptive training plans, collaborating directly with our founders, CTO, and coaching team. The role involves building and testing new features, experimenting with algorithms, and using data-driven approaches to enhance our platform.
We're looking for candidates with strong Python programming skills, experience in Data Science and Machine Learning, and an analytical degree background. You'll be working with modern technologies including AWS, Serverless architectures, and various ML tools. The position offers a £42,500 salary plus equity, flexible working arrangements, and comprehensive benefits.
Our tech stack includes React Native, TypeScript, GraphQL for frontend, and AWS services (Lambda, AppSync, DynamoDB) for backend, along with Python for ML implementations. We maintain a collaborative environment emphasizing iterative development, knowledge sharing, and cross-functional teamwork.
This is an exciting opportunity to join a rapidly growing startup at a foundational stage, with the goal of reaching millions of subscribers in the next 5 years. You'll have the chance to make a significant impact while working with a talented team dedicated to transforming how people approach running training.