At a Glance
- Tasks: Design and deploy ML models while conducting exciting exploratory research.
- Company: Join Miro, a forward-thinking company in the heart of London.
- Benefits: Enjoy a competitive equity package, health insurance, and learning opportunities.
- Other info: Be part of a diverse team with fantastic growth potential.
- Why this job: Make an impact by integrating cutting-edge ML models into real products.
- Qualifications: Strong foundation in machine learning, statistics, and proficiency in Python.
The predicted salary is between 60000 - 80000 € per year.
Miro is searching for a Machine Learning Research Engineer in London. The role involves designing and deploying ML models, conducting exploratory research, and collaborating with teams to integrate models into products.
Candidates should have a strong foundation in machine learning and statistics, deep proficiency in Python, and experience with modern ML libraries.
Miro offers a competitive equity package, health insurance, and opportunities for learning and development in a diverse team environment.
ML Research Engineer: Production Models & R&D employer: Miro
Miro is an exceptional employer that fosters a vibrant and inclusive work culture in the heart of London, where innovation thrives. With a strong commitment to employee growth, Miro provides ample opportunities for learning and development, alongside a competitive equity package and comprehensive health insurance, making it an ideal place for those looking to make a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Engineer: Production Models & R&D
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Miro employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and modern libraries. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning concepts and statistics. Practice explaining your past projects and how they relate to the role at Miro. Confidence is key!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace ML Research Engineer: Production Models & R&D
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong foundation in machine learning and statistics. We want to see your deep proficiency in Python and any experience you have with modern ML libraries. This is your chance to shine!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to the role. Mention specific projects or experiences that relate to designing and deploying ML models, as this will catch our eye.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate well-structured applications that get straight to the point. Use bullet points if necessary to make your skills and experiences stand out.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Miro
✨Know Your ML Models Inside Out
Make sure you can discuss various machine learning models and their applications. Be prepared to explain how you've designed and deployed models in the past, as well as any challenges you faced and how you overcame them.
✨Brush Up on Python and Libraries
Since deep proficiency in Python is a must, review your coding skills and be ready to demonstrate your knowledge of modern ML libraries. Practise coding challenges or even small projects that showcase your ability to implement algorithms effectively.
✨Showcase Your Research Skills
Miro values exploratory research, so come prepared to discuss any research projects you've worked on. Highlight your approach to problem-solving and how you’ve used data to drive decisions. This will show your potential to contribute to R&D efforts.
✨Emphasise Team Collaboration
Collaboration is key in this role, so think of examples where you've successfully worked with others to integrate models into products. Be ready to discuss how you communicate complex ideas to non-technical team members and how you handle feedback.
