Intern - Research (2024) - London

Graphcore

Nov 24, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Research & Development
Data
London

Requirements

We’re looking for technically minded, highly motivated and adaptable problem solvers who can thrive in our collaborative team. Specifically, for this programme you’ll also need to:
Be a PhD student working in the field of Machine Learning and Artificial Intelligence
Be able to evidence your coding skills (Python, C++), for example through projects or previous work experience, and experience of algorithm implementation in machine learning frameworks (PyTorch, JAX)
An excellent communicator with strong team-working and interpersonal skills
Highly motivated, action-oriented and a self-starter with a drive to get things done
Passionate about the field of AI, both theory and practice, with a keen interest to continue learning

Responsibilities

Acting as a member of the research team, you’ll investigate a research question that relates to machine learning or accelerated computation. Practically, this means designing experiments, implementing models and algorithms, exploring data and presenting results. You will be largely self-directed in your research activity, with freedom (given appropriate mentoring and guidance) to pursue the most promising approach. As part of the CTO group in Graphcore, you will present your findings back to the team, with the aim to present work publicly to the wider research community.
We are pursuing the following projects, each with exciting opportunities for interns at Graphcore, but are very open to other ideas that may align with the team’s goals — please get in touch if this is you!

Graphcore

Technology

Industry

501-1000

Employees

2016

Founded Year

Mission & Purpose

Graphcore has created a new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence. Our next generation 3D Wafer-on-Wafer Bow IPU systems are helping AI innovators worldwide to build better, more innovative AI solutions, whether their focus is on language and vision, exploring graph neural networks and LSTMs or creating something entirely new. We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars. Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference. We're always interested in hearing from exceptional people to join our team.