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For Companies At a Glance
- Tasks: Lead a research team in AI, focusing on Vision, Language, and Graph Theory.
- Company: A leading online workspace company with a focus on innovation.
- Benefits: Competitive equity package and comprehensive benefits for all employees.
- Why this job: Make a real impact by bridging research and product development in AI.
- Qualifications: Experience in multimodal ML research and strong leadership skills.
- Other info: Join a dynamic team with opportunities for rapid career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading online workspace company is seeking a Research Manager to lead a research team focused on AI and collaboration. The ideal candidate will bridge open-ended research with product impact, leading initiatives at the intersection of Vision, Language, and Graph Theory.
Responsibilities include:
- Defining the research roadmap for the Intelligent Canvas
- Ensuring rapid research-to-product cycles
A competitive equity package and comprehensive benefits are offered, making this an exciting opportunity for driven individuals.
Lead Multimodal ML Research for Product Impact in London employer: Miro
Contact Detail:
Miro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Multimodal ML Research for Product Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and collaboration space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your passion for research! When you get the chance to chat with potential employers, share your insights on the latest trends in Vision, Language, and Graph Theory. It’ll show them you’re not just another candidate.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of rapid research-to-product cycles and think of examples from your past work that demonstrate your ability to lead initiatives effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you an edge over the competition.
We think you need these skills to ace Lead Multimodal ML Research for Product Impact in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and collaboration shine through. We want to see how your interests align with our mission at StudySmarter, so don’t hold back on sharing your experiences and insights!
Tailor Your Research Roadmap: Make sure to highlight your experience in defining research roadmaps, especially in areas like Vision, Language, and Graph Theory. We’re looking for someone who can connect the dots between research and product impact, so be specific about your past projects.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications and achievements at a glance.
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Miro
✨Know Your Research
Dive deep into the latest trends in AI, especially around Vision, Language, and Graph Theory. Be prepared to discuss how your research can directly impact product development and enhance collaboration within the workspace.
✨Showcase Your Leadership Skills
As a Research Manager, you'll need to demonstrate your ability to lead a team effectively. Share examples of past experiences where you successfully guided a research initiative or managed a team, highlighting your approach to fostering collaboration and innovation.
✨Define Your Vision for the Intelligent Canvas
Think about what the future of the Intelligent Canvas looks like. Prepare to articulate your vision and how you plan to define the research roadmap. This shows that you're not just thinking about the present but also about long-term product impact.
✨Prepare for Rapid Research-to-Product Discussions
Understand the importance of quick iterations in research. Be ready to discuss strategies you've used in the past to ensure that research findings are swiftly translated into actionable product features, demonstrating your ability to bridge the gap between research and practical application.
