AI Research Engineer
GraphcoreAI & company
London, United KingdomSenior
Baillie Gifford
SoftBank Group
Ontario Teachers' Pension Plan
Fidelity International
Schroders
Draper Esprit
Data & AI
About the role
TL;DR
Contribute to AI research by investigating new ideas and pushing the limits of AI/ML problems.
- •As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems.
- •Key Responsibilities Generate AI/ML ideas, design experiments, implement them & evaluate results.
- •Prepare, submit & present your 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 at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.
- •Requirements 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.
- •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.
- •Practical familiarity with software stacks for deep learning
- •compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution
Required skills
PythonC++PyTorchscikit-learnPandasNumPy
Nice-to-have skills
JAXTensorFlow
Domain expertise
ai
Benefits & perks
flexible working, annual leave, private medical insurance, health cash plan, dental plan, pension, life assurance, income protection, parental leave, employee assistance programme
Tech stack
PythonC++PyTorchJAXTensorFlowscikit-learnPandasNumPy