At a Glance
- Tasks: Architect and deliver innovative training engine features for a next-gen running app.
- Company: Join Runna, a forward-thinking company revolutionising the running experience.
- Benefits: Enjoy flexible working, bi-annual salary reviews, and generous holiday allowances.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of ML technology and make a real difference in fitness.
- Qualifications: Extensive ML engineering experience, especially with AWS.
The predicted salary is between 60000 - 80000 € per year.
Runna is seeking a Machine Learning Engineer to help build the next generation of the running app. This role involves architecting and delivering training engine features while working with cutting-edge ML technologies.
Applicants should have extensive experience in ML engineering, particularly in AWS, and a number of exciting benefits, including flexible working, salary reviews every six months, and generous holiday allowances.
Senior ML Engineer: Personalised Training Engine & MLOps employer: Runna
Runna is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and technology. With a commitment to employee growth through regular salary reviews and flexible working arrangements, team members enjoy a healthy work-life balance while contributing to the development of cutting-edge features in the running app. Located in a vibrant tech hub, Runna offers unique opportunities to collaborate with like-minded professionals and make a meaningful impact in the fitness industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer: Personalised Training Engine & MLOps
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at Runna or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior ML Engineer: Personalised Training Engine & MLOps
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience in ML engineering and AWS. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your past projects relate to building training engine features and working with cutting-edge ML technologies. It’ll show us you’re genuinely interested!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for the team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Runna
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to personalised training engines. Be ready to discuss your previous projects and how you've used AWS in your ML engineering work.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach building features for a running app and be ready to explain your thought process clearly.
✨Familiarise Yourself with Runna
Do your homework on Runna and their current offerings. Understanding their app and how your role as a Senior ML Engineer can enhance user experience will show your genuine interest in the position.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, the tech stack they use, and their vision for the future of the app. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.
