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Hiring blog Oct 2024
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--- | ||
title: "Graphcore Research are hiring!" | ||
date: 2024-10-09T01:00:00-00:00 | ||
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layout: single | ||
category: "posts" | ||
tags: | ||
- hiring | ||
toc: false | ||
# Link from Greenhouse > Research Scientist > Job Posts > 🔗 icon > Select "None / Online Blog" | ||
hiring_link: "https://grnh.se/7120b5732us" | ||
--- | ||
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**We are pleased to have announce we have open positions for Research Scientists and Engineers to join our team.** | ||
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<div class="big-link"><a href="{{page.hiring_link}}">Apply for Graphcore Research here</a></div> | ||
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Our role within Graphcore is to help define what the next generation of AI compute systems should look like. | ||
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. | ||
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As a team, we immerse ourselves in the research community to determine where the field will likely go next, and help to | ||
steer that direction. We participate 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, such as NeurIPS, ICML and ICLR, as well as specialist workshops, and collaborate with other | ||
research teams and organisations across the world. | ||
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**We're looking for people who are keen scientists and engineers, with a desire to work at the frontier of AI who can push the | ||
boundaries of current compute capacity, and help to discover new and innovative ways to improve the capabilities of models.** | ||
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Some example topics we're interested in include | ||
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* Expand reasoning and knowledge retrieval capabilities of LLMs over long context windows | ||
* Improve the energy efficiency, scalability and stability of new and existing architectures | ||
* Apply state-of-the-art machine learning methods and tools to physical and life sciences | ||
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This isn't an exclusive list, and we're keen to hear from people with a different and bold perspective! | ||
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Our team is based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. | ||
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You can get a sense of our past work by scanning through <a href="/publications">our previous papers</a>, and see | ||
what directions are current exciting us by looking through our <a href="/papers-of-the-month/">Papers of the Month</a> blog posts | ||
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If you're excited to be at the forefront of AI supported by new hardware, we'd love to hear from you! | ||
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<div class="big-link"><a href="{{page.hiring_link}}">Apply for Graphcore Research here</a></div> |
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