Senior Machine Learning Engineer (Large Systems)

Graphcore(7 days ago)

HybridFull TimeSenior$144,143 - $194,486 (estimated)Applied AI

About this role

A Senior Machine Learning Engineer in the Applied AI team at Graphcore focuses on advancing AI technology by developing and optimising models for the company’s specialised hardware. The role works on large-scale systems where performance is critical and collaborates closely with software and research teams to drive innovation across the AI compute stack. The position helps ensure Graphcore technology integrates with the broader AI ecosystem at datacenter scale.

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Required Skills

PyTorch
JAX
Python
C++
Distributed Training
Model Optimization
Benchmarking
Experiment Design
Performance Tuning
MLOps

+5 more

Qualifications

Bachelor's Degree in Machine Learning, Computer Science, Mathematics or Data Science
Master's Degree in Machine Learning, Computer Science, Mathematics or Data Science
PhD in Machine Learning, Computer Science, Mathematics or Data Science

About Graphcore

graphcore.ai

Graphcore 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.