Graduate Machine Learning Engineer 2027
On-siteNo visa sponsorship
Core
Implement, train, and optimize advanced AI models on Graphcore's next-generation hardware, connecting research ideas with systems running across thousands of accelerators.
Role type
Graduate Machine Learning Engineer (Applied AI)
Builds
AI systems running at scale on Graphcore accelerators
Domain
AI Compute / Hardware-Accelerated Deep Learning
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, JAX), model optimization, experiment design, profiling, low-level kernel understanding
Preferred skills
None stated
Technologies
PyTorch, JAX, Graphcore accelerators
Responsibilities
Benchmark models, use profiling to find performance bottlenecks, design and run ML experiments, contribute fixes across models and software, test ideas to inform future hardware
Seniority
Graduate (Entry-level, 2-year learning program)
