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- Tasks: Architect generative world models and design foundational models for image and video diffusion.
- Company: Pioneering AI technology company in Greater London with a focus on innovation.
- Benefits: Competitive salary, cutting-edge projects, and opportunities for professional growth.
- Why this job: Join us to shape the future of generative AI and make a real impact.
- Qualifications: PhD in Computer Science, strong publication record, and expertise in deep learning frameworks.
- Other info: Dynamic environment with opportunities for collaboration and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering AI technology company in Greater London is seeking innovative individuals to architect generative world models. The role involves designing foundational models for image and video diffusion, and large-scale distributed model training.
Ideal candidates will have:
- A PhD in Computer Science
- A strong publication record
- Expertise in deep learning frameworks like PyTorch
Join us to shape the future of generative AI!
Research Scientist, Generative World Models & Diffusion employer: spAItial AI
Contact Detail:
spAItial AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Generative World Models & Diffusion
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative models and diffusion techniques. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your deep learning frameworks, especially PyTorch. Be ready to discuss your past research and how it relates to the role. Practice common interview questions to boost your 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 Research Scientist, Generative World Models & Diffusion
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant publications in your application. We want to see your strong background in Computer Science and deep learning frameworks like PyTorch, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specifics of the role. Mention your experience with generative models and diffusion techniques, as this will show us you’re a perfect fit for our innovative team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your skills and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in shaping the future of generative AI!
How to prepare for a job interview at spAItial AI
✨Know Your Stuff
Make sure you brush up on the latest advancements in generative AI and diffusion models. Be ready to discuss your PhD research and how it relates to the role. Familiarity with deep learning frameworks like PyTorch is a must, so be prepared to dive into technical discussions.
✨Showcase Your Publications
If you've got a strong publication record, flaunt it! Bring copies of your papers or have them easily accessible online. Be ready to explain your contributions and the impact of your work on the field. This will demonstrate your expertise and passion for research.
✨Prepare for Problem-Solving Questions
Expect to face some challenging problem-solving scenarios during the interview. Practice articulating your thought process clearly and logically. Think about how you would approach designing foundational models or tackling large-scale distributed training issues.
✨Cultural Fit Matters
Research the company culture and values of the pioneering AI technology company. Be ready to discuss how your innovative mindset aligns with their mission to shape the future of generative AI. Showing that you’re not just a fit for the role, but also for the team, can set you apart.
