AI Research Engineer

Graphcore is seeking an AI Research Engineer to contribute to AI research, focusing on hardware-aware algorithms and efficient compute. The role involves designing experiments, implementing models, and collaborating with researchers and engineers.

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present work to AI conferences and workshops.
• Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
• Collaborate with researchers, silicon, and software engineers to help define, build and test Graphcore's next generation of AI hardware.

• Master's, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• 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.
• 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.