Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative ML research and design architectures for multimodal AI.
- Company: Join Miro, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive global benefits in a supportive work environment.
- Other info: Be part of a dynamic team driving cutting-edge AI solutions.
- Why this job: Make a real impact by bridging theory with production systems in AI.
- Qualifications: PhD or significant industry experience in relevant fields; expertise in PyTorch or JAX.
The predicted salary is between 80000 - 100000 £ per year.
Miro is seeking a Lead Research Scientist to drive architectural decisions in their Machine Learning organization. This role involves designing innovative architectures that integrate multimodal inputs and bridging theory with production systems.
Candidates should have a PhD in relevant fields or significant industry experience, along with expertise in PyTorch or JAX. Additional skills in generative AI and engineering rigor are crucial.
The position offers competitive global benefits in a supportive environment.
Lead ML Research Scientist — Multimodal AI at Scale in London employer: Miro
Contact Detail:
Miro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Research Scientist — Multimodal AI at Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Miro or similar companies. 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 projects or research that highlight your expertise in multimodal AI, PyTorch, or JAX, make sure to showcase them. A portfolio can speak volumes!
✨Tip Number 3
Prepare for the interview like it’s a big presentation. Brush up on your knowledge of generative AI and be ready to discuss how you’d tackle architectural decisions. 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 by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Lead ML Research Scientist — Multimodal AI at Scale in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD or relevant industry experience in your application. We want to see how your background aligns with the role, especially your skills in PyTorch or JAX.
Connect Theory to Practice: In your written application, demonstrate how you've bridged theoretical concepts with real-world applications. This is key for us as we look for someone who can drive architectural decisions effectively.
Be Innovative: Don’t shy away from showcasing your innovative ideas! Share examples of how you’ve designed architectures that integrate multimodal inputs. We love creativity and fresh perspectives.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Miro
✨Know Your Stuff
Make sure you brush up on your knowledge of multimodal AI and the specific architectures that Miro is interested in. Be ready to discuss your past projects, especially those involving PyTorch or JAX, and how they relate to the role.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach integrating different modalities in a production system. This will demonstrate your ability to bridge theory with practical applications.
✨Highlight Your Generative AI Experience
If you have experience with generative AI, make sure to bring it up! Discuss any relevant projects or research you've done, as this is a key area for the role. Show how your expertise can contribute to Miro's goals.
✨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 assess if it's the right fit for you.