Senior Machine Learning Engineer (Large Systems)

Graphcore(18 days ago)

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

About this role

A Senior Machine Learning Engineer on Graphcore’s Applied AI team will advance AI compute by developing and optimising AI models for Graphcore’s specialised hardware and scaling them to large multi-accelerator systems. The role partners with Software and Research teams to ensure models perform efficiently at datacenter scale and to help shape next-generation AI hardware and software integration.

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Required Skills

PyTorch
JAX
Python
C++
Distributed Training
Model Optimization
Performance Tuning
Benchmarking
Experimentation
Communication

Qualifications

Bachelor's Degree in Machine Learning, Computer Science, Mathematics or Data Science
Master's Degree in a related field
PhD in a related field (optional)

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.

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