At a Glance
- Tasks: Advance AI research by designing ML experiments and collaborating on innovative hardware.
- Company: Join Graphcore, a leader in AI technology based in Cambridge.
- Benefits: Enjoy a competitive salary, flexible working, and comprehensive medical insurance.
- Other info: Be part of a dynamic team driving innovation in AI research.
- Why this job: Make a real impact in the exciting field of AI and robotics.
- Qualifications: Master's or PhD in a technical field with experience in embodied AI or robotics.
The predicted salary is between 50000 - 65000 £ per year.
Graphcore is seeking a researcher to advance AI research, focusing on hardware-aware algorithms in Cambridge. The ideal candidate should possess a Master's or PhD in a technical field and experience in embodied AI or robotics. This position involves generating ideas, designing ML experiments, and collaboration with engineers to build innovative AI hardware.
Graphcore offers competitive salary and benefits including flexible working and medical insurance.
Research Scientist: Visual Gen AI & World Models in Cambridge employer: Job Search Place Limited
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Cambridge where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development and collaboration with leading engineers in the AI field. Our competitive salary, flexible working arrangements, and comprehensive medical insurance ensure that our team members are well-supported and motivated to push the boundaries of AI research.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist: Visual Gen AI & World Models in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and robotics fields on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to embodied AI or hardware-aware algorithms. 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 technical knowledge and problem-solving skills. We recommend practicing common interview questions related to ML experiments and collaboration with engineers to ensure you’re ready to impress.
✨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 in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in AI research and any specific projects related to embodied AI or robotics. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about advancing AI research and how your expertise can contribute to our innovative projects at Graphcore. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any interesting ML experiments or hardware-aware algorithms, make sure to mention them in your application. We love seeing real examples of your work that demonstrate your creativity and technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Stuff
Make sure you brush up on the latest trends in AI research, especially around hardware-aware algorithms. Familiarise yourself with Graphcore's technology and how it integrates with embodied AI or robotics. This will show that you're genuinely interested and knowledgeable about the field.
✨Prepare Your Ideas
Think of innovative ideas or experiments you could propose during the interview. Be ready to discuss how you would design ML experiments and collaborate with engineers. Having a few concrete examples will demonstrate your proactive approach and creativity.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineers, be prepared to talk about your past experiences in teamwork. Highlight specific projects where you successfully collaborated with others, focusing on communication and problem-solving skills.
✨Ask Insightful Questions
Prepare thoughtful questions about Graphcore’s current projects and future directions in AI research. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals. It’s a two-way street!
