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 50000 - 70000 € 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 in London employer: Miro
Miro is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. 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 advance their careers in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Engineer: Production Models & R&D in London
✨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 gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common ML problems and be ready to discuss your thought process during interviews.
✨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 in London
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 to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role – we want to understand your experience without getting lost in technical terms.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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, and be ready to dive into the specifics of your experience with Python and modern ML libraries.
✨Showcase Your Research Skills
Since the role involves exploratory research, come equipped with examples of your past research projects. Discuss the methodologies you used, the challenges you faced, and how you overcame them. This will demonstrate your ability to innovate and contribute to Miro's R&D efforts.
✨Collaborate Like a Pro
Collaboration is key in this role, so think of examples where you've worked effectively within a team. Be ready to talk about how you integrated ML models into products and how you communicated complex ideas to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about Miro's current projects and future directions in machine learning. This shows your genuine interest in the company and helps you understand how you can contribute to their goals.
