Graduate Machine Learning Engineer

Graphcore is a SoftBank-owned AI-compute company developing AI processors, systems, and software for machine-learning workloads.

Series ERecently funded0 current maintainers0 active leads
Bristol, United Kingdom
About Graphcore

Graphcore develops Intelligence Processing Units (IPUs) and the Poplar SDK for building and running machine-learning applications. It continues operating under the Graphcore name as a wholly owned SoftBank Group subsidiary.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will implement, train and optimise advanced models on accelerator hardware. You will benchmark models, profile performance bottlenecks, design experiments and contribute fixes across models, software and accelerator systems.

Requirements

  • Bachelor’s or Master’s degree in Machine Learning, Computer Science, Maths, Data Science or a related field
  • Software development skills
  • Proficiency with PyTorch or JAX
  • Understanding of deep learning architectures, optimisation, evaluation and scaling
  • Ability to design, run and explain machine learning experiments

Responsibilities

  • Implement, train and optimise advanced models on accelerator hardware
  • Benchmark models and profile performance bottlenecks
  • Design and run machine learning experiments
  • Contribute fixes across models, software and accelerator systems
  • Test ideas that could inform future hardware
  • Work on kernel optimisation and research-level algorithms for AI models

Benefits

  • Flexible working
  • Up to 5% matched pension
  • Phantom equity
  • Free food and an on-site barista
  • Income protection and life assurance
  • Electric Vehicle Scheme
  • Private medical insurance
  • Dental cover
  • Health cash plan
  • Cycle to work scheme
  • Give as you earn

Hiring Process

Application questions and CV/cover letter submission → technical assessment for successful candidates → in-person final-stage assessments.