At a Glance
- Tasks: Drive AI research, design experiments, and implement innovative solutions in cutting-edge technology.
- Company: Join Graphcore, a leader in AI compute and innovation.
- Benefits: Inclusive culture, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team with diverse backgrounds and a commitment to continuous learning.
- Why this job: Be at the forefront of AI advancements and make a real impact on future technologies.
- Qualifications: Experience in AI, machine learning, and edge scenarios like robotics or augmented reality.
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.
Research Scientist, Visual Gen AI & World Models (Edge AI) 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 technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Visual Gen AI & World Models (Edge AI)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Graphcore on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience in AI/ML, especially in low-power and edge scenarios. Bring it up during interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Stay updated with the latest research! Read papers from NeurIPS, ICML, and ICLR, and be ready to discuss them. This shows your passion for AI and keeps you in the loop with cutting-edge developments.
✨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 Research Scientist, Visual Gen AI & World Models (Edge AI)
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential shine through. We want to see that you’re not just qualified, but genuinely excited about contributing to the field and pushing boundaries.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Research Scientist role. Highlight relevant experiences and skills that align with our focus on AI in low-power and edge scenarios. We love seeing how your background fits with our mission!
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 remember, clarity is key!
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, you’ll find all the details you need right there!
How to prepare for a job interview at Cerebras
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially in areas like edge computing and multimodal models. Graphcore is looking for candidates who can discuss their research and ideas confidently, so be prepared to dive deep into your past projects and how they relate to the role.
✨Show Off Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or technical challenges. Think about how you would approach designing experiments or solving specific AI problems. This will demonstrate your analytical thinking and creativity, which are key traits for a Research Scientist at Graphcore.
✨Familiarise Yourself with Their Work
Take some time to read Graphcore's papers or blog articles before your interview. Understanding their current research focus and recent innovations will not only impress your interviewers but also help you ask insightful questions that show your genuine interest in their work.
✨Be Ready to Collaborate
Graphcore values teamwork and collaboration, so be prepared to discuss how you've worked with others in the past. Share examples of how you’ve contributed to team projects or solved problems collectively, as this will highlight your ability to thrive in their supportive environment.
