Senior Software Engineer, Machine Learning in London - Runna

Runna helps 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.

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 of training 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.

Working with state-of-the-art ML technologies, you’ll help build the #1 running app in the world, pioneering the way that people train and use fitness apps.

As a Machine Learning Engineer your role will include:

• Architect, build, test and deliver new and improved running engine features to generate personalised, adaptive training plans for tens of thousands of active users.
• Creating SOTA models/algorithms and deploying them in a scalable, maintainable manner, and building MLOps pipelines to support this.
• Building data pipelines in AWS, to support creation of models and analytics.
• Mentoring others in the team on best practice in these areas.
• Collaborate with coaches to best deliver their expertise to users.

Your key experience:

• 3+ years in an ML engineer/MLOps role or similar.
• 2+ years working with AWS.
• You’ve deployed models to production, monitored and iteratively improved them in a cloud environment.
• You’ve trained models (bonus for deep learning) using large volumes of data.
• An analytical degree (e.g. Computer Science, Maths, Physics, Engineering).

Your key skills:

• Building and deploying data driven models in AWS.
• Strong Python programming.
• Confident creating scalable and maintainable MLOps pipelines.
• Data processing pipelines and storage in AWS.
• Understanding of LLMs and how to best interact with them.
• Deeply analytical and rigorous with a commitment to producing high-quality output.
• A pragmatic mindset, with strong communication and collaboration skills.
• Confidence in working with a highly-skilled engineering team in a fast-paced, iterative environment.
• Confident delivering features end-to-end, from architecture design and building through to releasing, testing and supporting.
• 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 experience with vector DBs.
• Are experienced in deployment, release cycles or CI/CD.
• Have experience monitoring models and algorithms in production.
• Have experience with Serverless architectures.
• Have experience with AWS.
• Have open-source contributions.
• Are experienced delivering features full-stack.
• Have a strong interest in the health/fitness technologies.

Benefits:

• 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.