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Vauxhall, United Kingdom

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 Graduate Machine Learning 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 and optimisations
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

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

Modelling / ML Engineer Interview process

Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages:

Kick off! (apply below by Friday 18th October)

Please let us know if there’s anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process ❤️

Introductory chat (30 minutes video call)
Take home technical task (max 1-2 hours to complete)
1.5 hour technical interview (the first half of the call will be used to discuss the take-home technical task from the previous stage and the second half will be some general architecture/tech questions)
Meet the team and in-person chat (in-person chat with founder(s), rest of the team and technical discussion)

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.

Your key skills and experience:

An analytical degree (e.g. Computer Science, Maths, Physics, Engineering)
Strong Python programming
Experience with, and understanding of, Data Science and Machine Learning
Programming experience outside of your degree (e.g. personal project or internship)
A strong understanding of computing fundamentals
Deeply analytical and rigorous with a commitment to producing high-quality output
A pragmatic and scientific mindset, with strong communication and collaboration skills
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 points if you:

Have an understanding of deployment, release cycles or CI/CD
Have exposure to delivering features end-to-end, from architecture design and building through to releasing, testing and supporting
Have an understanding of monitoring models and algorithms in production
Have an understanding of Serverless architectures
Have experience with AWS
Have open-source contributions
Have experience delivering features full-stack
Have a strong interest in the health/fitness technologies

Benefits

Benefits and options

We offer a salary of £42,500, plus equity in the form of Runna stock options.

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

Flexible working (we typically work 2-3 days in our office in Vauxhall)
Salary reviews every 6 months or whenever we raise more investment
25 days of holiday plus bank holidays
A workplace pension scheme where if you pay 5% we pay 3%
A brand new MacBook, a running watch of your choice, and anything else you need to do your best work
Private health insurance
Enhanced family care policy (3 months fully paid leave when a new Runna joins the family, fertility support & other benefits)
An hour slot each week (during work time) to do a Runna workout

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $35,000 - $45,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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