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- Tasks: Explore groundbreaking AI ideas and design experiments with a team of experts.
- Company: Join Graphcore, a leader in AI hardware research based in Cambridge.
- Benefits: Enjoy flexible working, generous leave, and comprehensive health coverage.
- Other info: Be part of an innovative environment with exciting career growth opportunities.
- Why this job: Make a real impact in AI/ML while collaborating with top talent.
- Qualifications: Master’s or PhD in a technical field, plus Python and deep learning skills.
The predicted salary is between 60000 - 80000 £ per year.
Graphcore is looking for a research engineer in Cambridge to advance AI research. You will explore new ideas in AI/ML and collaborate with a team of experts.
Responsibilities include:
- Designing experiments
- Providing technical insights
- Contributing to AI hardware development
Essential qualifications include:
- A Master’s or PhD in a technical field
- Proficiency in Python and deep learning frameworks
Benefits include:
- Flexible working
- Generous leave
- Health coverage
Senior AI Hardware Research Engineer employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Hardware Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community, attend meetups, and connect with Graphcore employees on LinkedIn. You never know who might give you a heads-up about an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and deep learning frameworks. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AI hardware and experiment design. Practice explaining your thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Graphcore. Plus, we’re always looking for passionate individuals to join our team!
We think you need these skills to ace Senior AI Hardware Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI/ML and hardware research. We want to see how your skills align with the role, so don’t be shy about showcasing your technical insights and any projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI research and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Since proficiency in Python and deep learning frameworks is essential, make sure to mention specific projects or experiences where you’ve used these skills. We’re keen to see how you’ve applied your knowledge in real-world scenarios.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Cerebras
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and breakthroughs in AI and machine learning. Familiarise yourself with Graphcore's work and how it fits into the broader landscape of AI research. This will not only show your passion but also help you engage in meaningful discussions during the interview.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and deep learning frameworks. You might be asked to solve a coding problem or discuss your previous projects. Have examples ready that highlight your technical expertise and how you've applied it in real-world scenarios.
✨Collaborative Spirit is Key
Since the role involves working with a team of experts, be ready to discuss your experience in collaborative environments. Share specific instances where you contributed to a team project, highlighting your communication skills and ability to integrate feedback.
✨Ask Insightful Questions
Prepare thoughtful questions about Graphcore’s current projects and future directions in AI hardware development. This shows your genuine interest in the company and helps you assess if it's the right fit for you. Plus, it can spark engaging conversations with your interviewers!