Research Scientist (Embodied AI & World Models) job opportunity at Graphcore.

Home Jobs In United Kingdom Tag: Research Research Scientist (Embodied AI & World Models) position at Graphcore


bot
Graphcore Research Scientist (Embodied AI & World Models)
Experience: General
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Research

Copy Link Report
degreeOND
loacation Bristol, UK; Cambridge, UK; London, UK, United Kingdom
loacation Bristol, UK; C..........United Kingdom

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. 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 & 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.   About you: 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). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; 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

Other Ai Matches

Senior Technical Program Manager, Post Silicon Validation and Bring-Up Applicants are expected to have a solid experience in handling Engineering - Programme Management related tasks
Senior Board Manufacturing Test Engineer Applicants are expected to have a solid experience in handling Engineering - Operations related tasks
Principal System Test Engineer Applicants are expected to have a solid experience in handling Engineering - Operations related tasks
AI SoC Validation / Bring-up Lead Applicants are expected to have a solid experience in handling Silicon Architecture related tasks
Security Information & Event Management (SIEM) Specialist - Incident Response Lead Applicants are expected to have a solid experience in handling Infrastructure Solution related tasks
Senior Staff ML Engineer Applicants are expected to have a solid experience in handling Engineering - Software related tasks
Principal Software Architect Applicants are expected to have a solid experience in handling Engineering - Software related tasks
2026 Graduate Software Engineer - Drivers Applicants are expected to have a solid experience in handling Graduates related tasks
Software Engineer in Build Engineering Applicants are expected to have a solid experience in handling Engineering - Software related tasks
2026 Graduate Software Engineer - AI/ML Test Systems Applicants are expected to have a solid experience in handling Graduates related tasks
Component Engineer Applicants are expected to have a solid experience in handling Engineering - Operations related tasks
Vulnerability Manager Applicants are expected to have a solid experience in handling Infrastructure Solution related tasks
Senior Supply Quality Manager Applicants are expected to have a solid experience in handling Operations related tasks
Principal Technical Program Manager, Hardware Engineering Applicants are expected to have a solid experience in handling Systems Engineering related tasks
Staff Silicon Logical Design Engineer - Bengaluru, Multiple Vacancies Applicants are expected to have a solid experience in handling Engineering - Silicon related tasks
Senior Staff Systems Software Engineer Applicants are expected to have a solid experience in handling Engineering - Software related tasks
Board Manufacturing Test Engineer Applicants are expected to have a solid experience in handling Engineering - Operations related tasks
Senior Staff Engineer - Observability Applicants are expected to have a solid experience in handling Engineering - Platform related tasks
2026 Graduate Software Engineer - Neuro Engine Modelling Applicants are expected to have a solid experience in handling Graduates related tasks
Customer Compliance Project Manager Applicants are expected to have a solid experience in handling Systems Engineering related tasks
Staff Post-Silicon Lab Characterization Engineer Applicants are expected to have a solid experience in handling Engineering - Silicon related tasks
Software Infrastructure Engineer Applicants are expected to have a solid experience in handling Infrastructure/QA related tasks
2026 Graduate Silicon Engineer Applicants are expected to have a solid experience in handling Graduates related tasks