AI Research Engineer

Responsibilities

• Generate AI/ML ideas, design experiments, implement them and evaluate results
• Prepare, submit and present research to AI conferences and workshops
• Provide technical insight to internal teams through experiments and actionable reports
• Collaborate with researchers, silicon and software engineers to define and test next-generation AI hardware

Requirements

• Masters, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry)
• Python programming in a modern deep learning framework such as PyTorch or JAX
• Familiarity with deep learning fundamentals: models, optimisation, evaluation and scaling
• Experience designing, executing and reporting machine learning experiments
• Lower-level programming for hardware efficiency, e.g., C++, CUDA or Triton
• Practical familiarity with hardware capabilities for deep learning and software stacks including compilation, kernel fusion and asynchronous execution

Preferred Qualifications

• Strong mathematics skills: calculus, probability theory and linear algebra
• Experience submitting papers to international scientific conferences or workshops

Benefits

• Competitive salary with flexible working arrangements
• Generous annual leave, private medical insurance, health cash plan and dental plan
• Pension matched up to 5%, life assurance and income protection
• Generous parental leave and employee assistance programme
• Healthy food, snacks and barista bar at the central Bristol office

About the Company

Graphcore builds the future of AI compute, creating the complete stack from silicon and software to datacenter-scale infrastructure. As part of the SoftBank Group, the company delivers key technology into the fast-growing SoftBank AI ecosystem and publishes research at leading AI/ML conferences.