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Graphcore

Senior Machine Learning Engineer (Large Systems)

Graphcore · Gdańsk, Pomeranian Voivodeship, Poland

Posted about 3 months ago

or apply directly on Graphcore's site. We never take the application ourselves.

Is this posting real?

This role has been open
87 days
Graphcore's roles stay open a median of 87 days
Reposted
No
Salary listed
No
0% of Graphcore's roles list one
Ghost-job risk at Graphcore
high
192 stale, 5 reposted of 192 open
Hiring momentum
288 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-29

Measured from postings appearing on and disappearing from Graphcore's own greenhouse board since 2026-08-03. Full hiring picture for Graphcore.

About this role

As a Senior Machine Learning Engineer in the Applied AI team, you will develop and optimize AI models for specialized hardware, focusing on large-scale systems where performance is critical. Your role includes implementing and training machine learning models, benchmarking for performance bottlenecks, and collaborating with various teams to innovate and enhance Graphcore's technology. You will also engage with the AI community to stay updated on the latest advancements.

Our read on this posting3.0out of 5
benefits
4/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Graphcore as an employer.

What you need

  • Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field
  • Proficiency in deep learning frameworks like PyTorch/JAX
  • Strong Python or C++ software development skills
  • Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation
  • Capable of designing, executing and reporting from ML experiments
  • Well-developed understanding of performance bottlenecks and how to overcome them

Nice to have

  • Experience in one or more of: MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic
  • Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models
  • Experience in distributed training or inference of ML models across 64+ accelerators

What you get

  • Flexible working: Balance your work and personal life with greater flexibility
  • Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
  • Phantom equity: Share in Graphcore’s success
  • Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
  • Financial protection: Death and disability insurance, providing financial security for you and your loved ones
  • Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions

Worth weighing

  • No salary listed for the specific role
  • The role involves working with specialized hardware, which may require a steep learning curve
  • Fast-paced environment may not suit everyone
  • No mention of remote work options beyond hybrid model

Summarised from Graphcore's posting. Read the full original.

Listed by Graphcore on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.

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