Research Scientist (Embodied AI & World Models)
1 day ago – Be among the first 25 applicants
About Graphcore
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It develops hardware, software and systems infrastructure that 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, sharing 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 unite under 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. We believe that hardware‑aware AI algorithms and AI‑aware hardware developments will continue to be critical to advancing this field, so we seek 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, and who are interested in training and deployment of multimodal AI models in these contexts, covering areas such as world models, real‑time computer vision, and generating and reasoning over audio/video streams.
The Team
Graphcore Research participates in both fundamental and applied research, characterising the computational requirements of machine intelligence and demonstrating how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) and collaborate with other research teams and organisations across the world. Our supportive and collaborative culture allows researchers to organise around their individual 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 sequence‑ and graph‑based data. Our teams are based across London, Cambridge and Bristol, with projects and discussions that involve all locations.
Responsibilities and Duties
* Generate AI/ML ideas, design experiments, implement them and evaluate results.
* Prepare, submit and 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.
Essential
* Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
* Experience in embodied AI, world models or robotics.
* 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.
* Experience submitting papers to international scientific conferences or workshops.
Desirable
* Lower‑level programming for hardware efficiency, e.g. C++/CUDA/Triton.
* Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
* Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams and asynchronous execution.
* Conference or workshop submissions in the fields of embodied AI, world models, or robotics.
Benefits
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing and bereavement support). Healthy food and snacks are available at our central Bristol office and we have our own barista bar. We welcome people of diverse backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and will provide a flexible approach to interview and reasonable adjustments if required.
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.
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