At a Glance
- Tasks: Join our team to build the ultimate training platform for runners using innovative technology.
- Company: Runna, a dynamic tech company focused on transforming running experiences.
- Benefits: Flexible working, competitive salary, 25 days holiday, and private health insurance.
- Other info: Exciting career growth opportunities and a supportive work environment.
- Why this job: Make a real impact in the fitness world while collaborating with a talented team.
- Qualifications: Strong Python skills and experience in designing complex algorithms.
The predicted salary is between 60000 - 75000 € per year.
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.
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.
For this role, we are looking for a Mid (L3) to Senior (L4) Modelling Engineer!
As a Modelling Engineer, your role will include:
- Architect, build, test and deliver new and improved running engine features to generate personalised, adaptive training plans for many thousands of active users.
- Consistently 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.
- Designing and implementing tests to ensure consistency and accuracy of plans.
Requirements:
What experience we’re looking for:
If you don’t quite meet all of the below skills, we’d still love to hear from you as we might be able to tweak the role slightly or offer you a position better suited for you.
Your key skills:
- Strong Python (object-orientated) programming, with experience writing production-quality code in large Python projects.
- Designing and implementing complex algorithms (e.g. how should I schedule exercises in someone’s week).
- Able to understand and apply complex numerical concepts e.g. such as in an analytical degree (Computer Science, Maths, Physics, Engineering).
- Testing modelling-focused software to ensure quality and maintainability.
- 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.
- Are 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:
- Are experienced in deployment, release cycles or CI/CD.
- Are comfortable delivering features end-to-end, from architecture design and building through to releasing, testing and supporting.
- Have experience monitoring models and algorithms in production.
- Have experience with Serverless architectures.
- Have experience with AWS.
- Have open-source contributions.
- Are experienced in delivering features full-stack.
- Exposure to, and understanding of, Data Science and Machine Learning.
- 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 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.
Software Engineer, Modelling (Mid/ Senior) in London - Runna employer: Stars Arena
Runna is an exceptional employer that fosters a collaborative and innovative work culture, perfect for passionate software engineers looking to make a meaningful impact in the fitness technology space. With flexible working arrangements, regular salary reviews, and generous benefits including private health insurance and enhanced family care policies, employees are supported both personally and professionally. Located in vibrant Vauxhall, London, Runna offers a unique opportunity to work closely with founders and a skilled engineering team, driving the development of cutting-edge training solutions for runners worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Modelling (Mid/ Senior) in London - Runna
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Runna. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a cool project or a GitHub repo, share it. It’s a great way to demonstrate your coding chops and passion for software engineering.
✨Tip Number 3
Prepare for the interview by understanding Runna's mission. Think about how your experience aligns with building that next-gen running engine and be ready to discuss it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Software Engineer, Modelling (Mid/ Senior) in London - Runna
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your Python programming skills and any experience with complex algorithms. We want to see how you can contribute to our running engine, so don’t hold back on showcasing your best work!
Be Yourself:We’re looking for creative and positive team players, so let your personality shine through in your application. Share your passion for health and fitness technologies, and how you can bring that enthusiasm to our team at Runna.
Tailor Your Application:Make sure to tailor your application to the role of Modelling Engineer. Mention specific experiences that relate to designing and implementing tests or working in cross-functional teams. This shows us you understand what we’re all about!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensures you get all the latest updates from our team. We can’t wait to hear from you!
How to prepare for a job interview at Stars Arena
✨Know Your Algorithms
Brush up on your algorithm design skills, especially those related to scheduling exercises and adaptive training plans. Be ready to discuss how you would approach building these algorithms and any past experiences you've had with similar challenges.
✨Showcase Your Python Skills
Prepare to demonstrate your Python programming expertise. Bring examples of production-quality code you've written in large projects, and be ready to explain your thought process behind the design and implementation of complex features.
✨Emphasise Collaboration
Runna values teamwork, so highlight your experience working in cross-functional teams. Share specific examples of how you've collaborated with others, particularly in iterative development environments, and how you’ve contributed to knowledge sharing and pair programming.
✨Be Data-Driven
Since the role involves a data-led approach, come prepared to discuss how you've used data to influence algorithms in your previous work. Think about examples where your analytical mindset led to improvements in software quality or user experience.