At a Glance
- Tasks: Conduct groundbreaking AI research and collaborate with teams on innovative projects.
- Company: Join Graphcore, a leader in AI technology based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in the field.
- Qualifications: Strong background in AI, machine learning algorithms, and coding skills in Python or C/C++.
The predicted salary is between 60000 - 80000 £ per year.
Graphcore is seeking a talented individual to contribute to groundbreaking AI research in London. The role focuses on cutting-edge areas such as Deep Learning and Generative Models, requiring a strong educational background in relevant fields.
Responsibilities include:
- Conducting investigations in AI research
- Collaborating with teams
- Engaging with external institutions
Ideal candidates possess skills in modern machine learning algorithms and basic coding in Python or C/C++.
AI Research Engineer — Innovate Deep Learning & Gen Models in London employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from continuous growth opportunities through engaging projects in AI research, alongside a supportive environment that encourages creativity and professional development. With a focus on cutting-edge technology and a commitment to employee well-being, Graphcore stands out as a rewarding place for those passionate about advancing the field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer — Innovate Deep Learning & Gen Models in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Deep Learning and Generative Models. We all love a good visual, so make sure it’s easy to navigate and highlights your best work.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills in Python or C/C++. We recommend doing mock interviews with friends or using online platforms to get comfortable with technical questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to innovate in AI research.
We think you need these skills to ace AI Research Engineer — Innovate Deep Learning & Gen Models in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with deep learning and generative models in your application. We want to see how your skills align with the cutting-edge areas we're exploring!
Tailor Your CV:Don’t just send a generic CV! Customise it to reflect the specific requirements of the AI Research Engineer role. We love seeing candidates who take the time to connect their background to what we do.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of why you’re a great fit for our team.
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 without any hiccups!
How to prepare for a job interview at graphcore
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Deep Learning and Generative Models. Familiarise yourself with key algorithms and be ready to discuss how they apply to real-world problems. This shows your passion and expertise in the field.
✨Show Off Your Coding Skills
Since the role requires basic coding in Python or C/C++, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Collaborate Like a Pro
Collaboration is key in this role, so think of examples from your past experiences where you worked effectively in a team. Be ready to discuss how you handle differing opinions and contribute to group success.
✨Engage with External Institutions
Research Graphcore's partnerships and collaborations with external institutions. Being knowledgeable about their work can help you ask insightful questions and show that you're genuinely interested in contributing to their research efforts.
