Please apply by Friday 18th October!

We're putting together a talented team to build the #1 training platform for Runners

We help everyday runners become outstanding by providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. To date we have built iOS, Android and Apple watch apps that help people achieve their goals by coaching them through the full journey and syncing to their favourite fitness devices.

We’re growing extremely fast and in November 2023 closed a new £5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. We want to grow as fast as we can into the future and are looking for individuals who will help us get there. For more about our background and growth check out our Careers Page!

We’re now looking ahead to the future and the people who want to help us build and scale Runna. Our aim is to reach millions of subscribers in the next 5 years and be the go-to training platform for any runner. Now is a magical time to join, we're still small, and everyone makes a foundational difference.

What you’ll be doing

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 a Machine Learning Intern, your role will include:

• Developing, testing, and fine-tuning machine learning models that generate personalised training insights for hundreds of thousands of active users
• Experimenting with new algorithms, optimisations, and data-driven approaches to continually improve our models
• Collaborate with coaches to integrate their expertise into our models
• Using a data-led approach to inform and refine model predictions and outcomes
• Design testing frameworks to ensure model accuracy and reliability

Our tech stack

Below you can find a small reflection of our current tech stack:

Frontend:

• React Native (iOS and Android)
• Typescript
• GraphQL (Apollo Client)
• Fastlane
• SwiftUI (Apple Watch)
• Maestro E2E tests

Backend:

• Serverless (AWS)
• Lambdas (NodeJS & Python)
• AWS AppSync
• DynamoDB, S3, SQS, SNS, EventBridge, SageMaker
• Postman API tests

All the other good stuff:

• Sentry
• GitHub Actions
• Intercom, Mixpanel
• RevenueCat
• App Store Connect / Play Store
• Figma

Machine Learning Internship Interview process

Our goal is to make the interview process as simple and enjoyable as possible. This process consists of the following stages:

1. Kick off! (apply below by Friday 18th October)
2. 15-minute introductory chat with one of our Engineers
3. 30-minute live coding technical interview (This will consist of two exercises from https://leetcode.com/)
4. 30-minute chat with one of our Senior Engineers and CTO (This will consist of general tech questions)

Once the process is finished, we promise to let you know our decision as soon as possible.

Requirements

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, and understanding of, Data Science and Machine Learning
• A solid understanding of computing fundamentals
• Fast learner and comfortable working on technologies outside your comfort zone
• Enthusiasm for our ways of working which include:
• Iterative development, continuous deployment and test automation
• Knowledge sharing, pair programming, collaborative design & development
• Shared code ownership & cross-functional teams

Bonus Skills:

• Interest in the health/fitness technologies
• Understanding of deployment, release cycles or CI/CD
• Experience with AWS
• Knowledge of Serverless architecture
• Experience delivering features full-stack

Benefits

Benefits and options

We'll be growing our package of benefits over time. We currently offer:

• £42.5k salary (pro-rata’ed over your internship)
• Flexible working (we typically work 2-3 days from our office in Vauxhall)
• 10 days flexible holiday, with the choice to use your bank holiday allowance on days that better suit you
• Bi-weekly team run and lunch
• Social throughout the internship (tech and company wide)