3 months ago
London, United KingdomSenior
Responsibilities
- Generate AI/ML ideas, design and implement experiments, and evaluate results
- Prepare, submit, and present research at AI conferences and workshops
- Design experiments and deliver clear, actionable technical reports to internal teams
- Collaborate with researchers, silicon engineers, and software engineers to define, build, and test next-generation AI hardware
Requirements
- Master’s, PhD, or equivalent experience in a technical discipline such as mathematics, statistics, computer science, physics, or chemistry
- Python programming experience with a modern deep learning framework such as PyTorch or JAX
- Understanding of deep learning fundamentals, including models, optimization, evaluation, and scaling
- Ability to design, execute, and report on machine learning experiments
- Lower-level programming experience for hardware efficiency, such as C++, CUDA, or Triton
- Practical familiarity with hardware capabilities for deep learning, including threads, caches, vector and matrix engines, data dependencies, bus widths, and throttling
- Practical familiarity with deep learning software stacks, including compilation, kernel fusion, XLA and ATen operations, streams, and asynchronous execution
- Mathematics skills in calculus, probability theory, and linear algebra are desirable
- Experience submitting papers to international scientific conferences or workshops is desirable
- Applicants must have the right to work in the UK; visa sponsorship is not available
Benefits
- Flexible working
- Generous annual leave policy
- Private medical insurance and health cash plan
- Dental plan
- Pension matched up to 5%
- Life assurance and income protection
- Generous parental leave policy
- Employee assistance programme with health, mental wellbeing, and bereavement support
- Healthy food and snacks and an on-site barista bar at the central Bristol office
- Flexible interview process and reasonable-adjustment support
About Graphcore
Graphcore designs and sells Intelligence Processing Units (IPUs), systems, and a full software stack for training and inference of AI models in data centers and research labs. Revenue comes from hardware systems and associated software tools and services, used for workloads across NLP, computer vision, and graph neural networks. Founded in 2016 and headquartered in Bristol, the company is part of SoftBank Group and focuses on on‑prem and cloud deployments.