At a Glance
- Tasks: Drive AI and ML research, generating innovative ideas and designing groundbreaking experiments.
- Company: Join Graphcore, a leader in AI technology with a focus on collaboration.
- Benefits: Enjoy flexible working, generous leave, and the chance to work on cutting-edge tech.
- Other info: Work in a dynamic environment located in Cambridge with excellent growth opportunities.
- Why this job: Be at the forefront of AI research and make a real impact in the field.
- Qualifications: Master's or PhD in a technical field, experience in embodied AI, and Python proficiency.
The predicted salary is between 60000 - 80000 £ per year.
Graphcore is seeking a Researcher focused on AI and ML advancement. As a key player in the company, you'll generate AI ideas and design experiments that push the boundaries of AI research.
The ideal candidate will have:
- A Master's or PhD in a technical field
- Experience in embodied AI
- Proficiency in Python with frameworks like PyTorch
This position offers flexible working, a generous leave policy, and the chance to work on cutting-edge technology in Cambridge.
Edge AI Research Scientist: Visual Generative & World Models in Cambridge employer: Job Search Place Limited
Graphcore is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for those passionate about AI and machine learning. Located in the vibrant city of Cambridge, employees enjoy flexible working arrangements, a generous leave policy, and the opportunity to work with cutting-edge technology alongside some of the brightest minds in the field, ensuring ample growth and development opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Edge AI Research Scientist: Visual Generative & World Models in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those at Graphcore. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in embodied AI and Python. This is your chance to demonstrate your expertise with frameworks like PyTorch and make a lasting impression.
✨Tip Number 3
Prepare for the interview by diving deep into Graphcore's work. Familiarise yourself with their cutting-edge technology and think of innovative ideas you could bring to the table. We want to see your passion!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the team at Graphcore.
We think you need these skills to ace Edge AI Research Scientist: Visual Generative & World Models in Cambridge
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical expertise, especially in Python and frameworks like PyTorch. We want to see how your background aligns with the cutting-edge work we do at Graphcore.
Tailor Your Application:Don’t just send a generic CV and cover letter! Customise your application to reflect your interest in AI and ML advancement. We love seeing candidates who are genuinely excited about the role and our mission.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your ideas come across without unnecessary fluff. Let’s get to the good stuff!
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 at Graphcore.
How to prepare for a job interview at Job Search Place Limited
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and ML, especially in embodied AI. Be ready to discuss your previous projects and how they relate to the role at Graphcore. This shows you're not just knowledgeable but also genuinely interested in pushing the boundaries of AI research.
✨Show Off Your Python Skills
Since proficiency in Python and frameworks like PyTorch is key, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms or even doing some mock coding interviews can really help you shine.
✨Experiment Design is Key
Be prepared to talk about how you design experiments. Think about the methodologies you've used in the past and how you would apply them to new AI ideas. Graphcore will want to see your ability to think critically and creatively about experimental design.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Graphcore's current projects, their approach to AI research, and the team dynamics. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
