Senior Machine Learning Engineer (Large Systems)
Graphcore(1 month ago)
About this role
Senior Machine Learning Engineer in the Applied AI team responsible for developing and optimising AI models to run efficiently on Graphcore’s specialised hardware. The role focuses on large-scale systems and performance-critical workloads, collaborating closely with Software, Research and Product teams. The position contributes to advancing Graphcore’s technology and engaging with the wider AI community to keep the company aligned with latest developments.
Required Skills
- PyTorch
- JAX
- Python
- C++
- Deep Learning
- Model Optimisation
- Distributed Training
- Performance Optimisation
- Benchmarking
- Experimentation
+4 more
Qualifications
- Bachelor's Degree
- Master's Degree
- PhD
About Graphcore
graphcore.aiGraphcore is a semiconductor and systems company that designs the Intelligence Processing Unit (IPU), a processor architecture purpose-built for machine intelligence to accelerate machine learning and AI workloads. It offers IPU-based servers and cloud access together with the Poplar software stack, compilers and developer tools to run training and inference at scale and integrate with common ML frameworks. Graphcore’s platform targets researchers and enterprises that need higher performance, efficiency and scalability for large models and intelligent applications across cloud and on‑prem deployments.
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