At a Glance
- Tasks: Design and implement cutting-edge research in visual generative AI and multimodal learning.
- Company: Join Graphcore, a leader in AI research with a collaborative culture.
- Benefits: Enjoy flexible working, competitive salary, and a supportive workplace.
- Other info: Great opportunities for career growth in a dynamic environment.
- Why this job: Make a real impact in the exciting field of AI research.
- Qualifications: Advanced degree in relevant fields and strong Python programming skills.
The predicted salary is between 60000 - 80000 € per year.
Graphcore is looking for a Research Scientist to enhance AI research in visual generative AI, multimodal learning, and more in London. The role encompasses designing, implementing, analyzing, and publishing research projects.
Ideal candidates will possess advanced degrees in relevant fields and have strong programming skills, especially in Python with frameworks like PyTorch. The company promotes a collaborative environment and offers numerous benefits, ensuring a supportive workplace.
Research Scientist - Visual Gen AI & World Models (Flexible) employer: graphcore
Graphcore is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. With a strong focus on employee growth and development, the company provides numerous benefits and opportunities for meaningful contributions to cutting-edge AI research. Join us to be part of a team that values innovation and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist - Visual Gen AI & World Models (Flexible)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and research fields on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and PyTorch. This is your chance to demonstrate your expertise in visual generative AI and multimodal learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and research methodologies. We recommend practising common interview questions related to AI and having a few of your own ready to ask!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Scientist - Visual Gen AI & World Models (Flexible)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills, especially in Python and any experience with frameworks like PyTorch. We want to see how your expertise aligns with the role, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Research Scientist position. Mention your experience in visual generative AI and multimodal learning to catch our eye!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and passion for the role.
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’re considered for this exciting opportunity!
How to prepare for a job interview at graphcore
✨Know Your Research Inside Out
Make sure you’re well-versed in your past research projects, especially those related to visual generative AI and multimodal learning. Be ready to discuss your methodologies, findings, and how they can apply to the role at Graphcore.
✨Show Off Your Programming Skills
Since strong programming skills in Python and frameworks like PyTorch are crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your coding skills and be ready to explain your thought process.
✨Emphasise Collaboration
Graphcore values a collaborative environment, so highlight your experience working in teams. Share examples of how you’ve successfully collaborated on research projects and how you can contribute to a supportive workplace culture.
✨Prepare Thoughtful Questions
At the end of the interview, you’ll likely have the chance to ask questions. Prepare insightful queries about their current projects or future directions in AI research. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
