Senior Engineer (ML Engineer)

Sourced from shecancode.io

Graphcore's ML QA team is hiring a Senior ML Engineer to validate the ML software and hardware stack that powers AI compute. You will test, benchmark, and debug complex ML systems by running open-source models, building automated benchmarking pipelines, and targeting numerical precision, quantization, attention mechanisms, and distributed execution. This hands-on role focuses on making AI systems run reliably on ambitious infrastructure rather than designing new models.

• Test, benchmark, and validate Graphcore's ML software and hardware stack before customer release.
• Run open-source models and build automated benchmarking pipelines.
• Create targeted tests for low-level ML behavior including numerical precision, quantization, attention mechanisms, distributed execution, and model subgraphs.
• Expose regressions, correctness issues, and performance limits across frameworks, models, and execution environments.
• Collaborate with software, infrastructure, and hardware teams to raise the quality bar.

• Strong experience in machine learning or ML-adjacent software engineering roles.
• Solid grasp of neural networks, training, inference, numerical precision, and performance trade-offs.
• Hands-on experience with PyTorch, TensorFlow, JAX, Triton, or similar ML frameworks and tools.