Senior Machine Learning Engineer (Large Systems)

Graphcore(7 days ago)

HybridFull TimeSenior$144,125 - $194,463 (estimated)Applied AI

About this role

A Senior Machine Learning Engineer in the Applied AI team at Graphcore will develop and optimise AI models for Graphcore’s specialised hardware, working at large scale where performance is critical. The role involves collaborating with Software and Research teams to drive innovations in model scaling, efficient compute, and distributed training and inference across many accelerators. The position focuses on advancing AI model implementation and integration with Graphcore’s AI compute stack.

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Required Skills

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

+6 more

Qualifications

Bachelor/Master/PhD in Machine Learning, Computer Science, Mathematics, Data Science or related

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.