At a Glance
- Tasks: Advance AI research by blending machine learning with practical engineering for scalable AI hardware.
- Company: Graphcore, a leading AI hardware company in the UK.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment across London, Cambridge, and Bristol.
- Why this job: Make a real impact in AI research and contribute to groundbreaking projects.
- Qualifications: Experience in machine learning and a passion for innovative engineering.
The predicted salary is between 60000 - 80000 £ per year.
Graphcore in the United Kingdom is seeking a Research Engineer to advance AI research, blending machine learning with practical engineering to deliver scalable implementations for AI hardware. You will work with researchers to translate ideas into experiments and contribute to publications and projects across efficient compute, model scaling and distributed training.
The team operates across London, Cambridge and Bristol, focusing on hardware‑aware AI algorithms, training and inference.
Hardware‑Aware AI Research Engineer in Cambridge employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol and London, where innovation thrives. With a strong focus on employee growth, we provide opportunities to engage in cutting-edge AI technology while enjoying benefits like flexible working, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among diverse talents, ensuring that every team member can make a meaningful impact on the future of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Hardware‑Aware AI Research Engineer in Cambridge
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We think you need these skills to ace Hardware‑Aware AI Research Engineer in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at graphcore. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at graphcore
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
