Graduate Machine Learning Engineer
Graphcore is a SoftBank-owned AI-compute company developing AI processors, systems, and software for machine-learning workloads.
Funding history
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.
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.
