AI Research Scientist

AI Research Scientist

Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Drive AI research, design experiments, and push the boundaries of AI/ML technology.
  • Company: Join Graphcore, a leading innovator in AI compute and part of the SoftBank Group.
  • Benefits: Inclusive culture, flexible work environment, and opportunities for continuous learning.
  • Other info: Collaborative team with projects across London, Cambridge, and Bristol.
  • Why this job: Be at the forefront of AI breakthroughs and make a real impact on future technologies.
  • Qualifications: Experience in AI, robotics, or autonomous systems; strong theoretical and practical skills.

The predicted salary is between 60000 - 80000 £ per year.

About Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research. We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality; we are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

  • Generate AI/ML ideas, design experiments, implement them.

We’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

AI Research Scientist employer: Cerebras

Graphcore is an exceptional employer, offering a dynamic and inclusive work culture that fosters continuous learning and innovation in the field of Artificial Intelligence. With a commitment to employee growth, team collaboration, and cutting-edge research, employees are empowered to explore impactful AI solutions while being part of a diverse team that values unique perspectives. Located in vibrant cities like London, Cambridge, and Bristol, Graphcore provides a stimulating environment for researchers eager to push the boundaries of AI technology.
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Contact Detail:

Cerebras Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Research Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the AI field, 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! Prepare a portfolio or a project that highlights your experience with AI/ML, especially in low-power or edge scenarios. This will make you stand out during interviews.

✨Tip Number 3

Stay updated on the latest AI trends and breakthroughs. Being able to discuss recent advancements shows your passion and commitment to the field, which is super attractive to employers.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Graphcore team.

We think you need these skills to ace AI Research Scientist

AI Research
Machine Learning (ML)
Hardware-Aware AI Algorithms
Low-Power AI Solutions
Robotics
Autonomous Driving
Augmented Reality
Virtual Reality
Multimodal AI Models
Real-Time Computer Vision
Audio/Video Stream Processing
Experiment Design
Collaboration
Problem-Solving Skills
Research Publication

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about pushing the boundaries of AI research and how your background aligns with our mission at Graphcore.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Research Scientist role. Highlight relevant experiences and skills that match the job description, especially in low-power and edge scenarios. We love seeing candidates who take the time to connect their expertise with what we do!

Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and ideas. Avoid jargon unless it's necessary, and focus on communicating your thoughts effectively.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Graphcore!

How to prepare for a job interview at Cerebras

✨Know Your AI Stuff

Make sure you brush up on the latest trends and breakthroughs in AI and ML. Familiarise yourself with Graphcore's work, especially their hardware-aware algorithms and applications in robotics or autonomous driving. Being able to discuss these topics confidently will show your genuine interest and expertise.

✨Showcase Your Research Skills

Prepare to talk about your previous research projects and how they relate to the role. Highlight any experience you have with multimodal AI models or real-time computer vision. Be ready to discuss your thought process, methodologies, and the impact of your work.

✨Collaborative Mindset

Graphcore values teamwork and collaboration, so be prepared to share examples of how you've worked effectively in a team. Discuss how you approach problem-solving with others and how you can contribute to a supportive research environment.

✨Ask Insightful Questions

Prepare thoughtful questions about Graphcore’s projects, culture, 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, after all!

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