Research Scientist, Graphcore

• Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering)
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling
• Capable of designing, executing and reporting from ML experiments
• Mathematics skills to support the above: calculus, probability theory and linear algebra

Desirable

• 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 the advancement of this exciting field
• Generate AI/ML ideas, design experiments, implement them & evaluate results
• Prepare, submit & present your work to AI conferences and workshops
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware
• 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

• Work-Life Balance: We believe you should have a good work-life balance. Everyone's situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
• Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing
• Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
• Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
• Pension: We believe that our employees deserve the best when it comes to planning for their future
• Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place

Total funding: $682m

Traditional hardware, mainly GPUs, used for training these models, comes at a high cost, both financially and environmentally, producing millions of dollars in expenses and hundreds of tons of greenhouse gases. In response, Graphcore is developing accelerator chips designed to expedite AI system training while significantly reducing power consumption.