<aside> 🗓️ Please apply by Monday 28th October!

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Who we’re looking for

We are looking for talented, creative and positive team players to join our highly-skilled Cross-Functional Engineering Team to help build the next generation running engine that powers what we do. As part of this work, you’ll be working closely with the engineering, product and coaching team to build an engine that will dynamically build users the optimal training plan, whilst adapting based on external inputs (from previous workouts to live recovery tracking). You will work closely with our founders and CTO to help shape the future of Runna who will be there to support you all the way along this exciting journey.

As an Intern Software Engineer, your role will include:

• Build, test and deliver new and improved running engine features to generate personalised, adaptive training plans for hundreds of thousands of active users
• Experiment to improve the engine with new algorithms, optimisations and white box modelling approaches
• Collaborate with coaches to best deliver their expertise to users
• Use a data-led approach to influence algorithms
• Design testing frameworks to ensure consistency and accuracy of plans

This internship lasts between 7 and 12 weeks, with flexibility for pre-existing commitments. We understand that everyone’s situation is unique, and we’re here to accommodate.

What experience we’re looking for

We encourage applications from individuals with a range of experiences and backgrounds. Even if you don’t meet every qualification listed, we’d love to hear from you and are open to tailoring roles to fit the right candidates. Please apply directly below or contact us for more information and to discuss your fit.

Key Skills:

• Currently pursuing a degree in a relevant field (e.g. Engineering, Physics, Maths, Computer Science) or equivalent experience
• Strong Python programming
• Experience with algorithmic and quantitative approaches to solving problems (e.g. how should I schedule exercises in someone’s week)
• A solid understanding of computing fundamentals
• Fast learner and comfortable working on technologies outside your comfort zone