Senior Staff ML Engineer
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Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
About Graphcore
At Graphcore were building the future of AI compute.
Were a team of semiconductor software and AI experts with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group backed by significant long-term investment we are delivering key technology into the fast-growing SoftBank AI ecosystem.
To meet the vast and exciting AI opportunity Graphcore is expanding its teams around the world.
We are bringing together the brightest minds to solve the toughest problems in a place where everyone has the opportunity to make an impact on the company our products and the future of artificial intelligence
Job Summary
Applicants for this role should have strong experience working with machine learning systems and frameworks along with a solid understanding of core AI concepts and model behaviour. The role centres on testing validating and benchmarking a complex ML software stack with a particular focus on performance reliability and correctness across modern AI workloads.
The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed and who has hands-on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models bringing them up on internal infrastructure and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks infrastructure and AI accelerator hardware.
The Team
TheMLQA team is composed of highly skilled software engineers with a strong focus on automation software quality and data-driven validation. The team works closelywithindustry-standard machine learning frameworks and models contributing to upstream open-source projects and collaborating across the wider software organization.
Operating in a fast-paced environment the team plays a critical role in ensuring reliability performance and maintainability across the ML software stack helping to deliver robust and high-quality products to customers.
Responsibilities and Duties
Benchmark ML models and frameworks analysing results toidentifyregressionsperformance bottlenecks and correctness issues.
Work hands-on with industry-standard ML frameworks tovalidatefunctionality and performance across different execution environments.
Build andmaintainautomated testing and benchmarking pipelines targeting simulators emulators and physical hardware.
Collaborate closely with softwareteamstoensureadequate test coverage for new and existing features.
Develop tooling and scripts (primarily in Python) to support testing benchmarking andfunctional reporting.
Take ownership over aspects of our testing and infrastructure owning the roadmap and driving innovation independently.
Candidate Profile
Essential:
Experience working in Machine Learning or ML-adjacent engineering roles.
Strong foundationin core AI and ML concepts (e.g. neural networks training vs inference numerical precision performance trade-offs).
Hands-on experience with one or more major ML frameworks such asPyTorch TensorFlow JAX or similar.
Strongproficiencyin Python for ML workflows experimentation and automation.
Experience designing running and analysing ML benchmarks or experiments.
Experience working in Linux environments.
Strong analytical and debugging skills with the ability to reason about model behaviour and system performance.
Bachelor/Masters/PhD or equivalent experience in Computer Science Maths Machine Learning Data Science or related field.
Desirable
Experience withMLOpspipelines model deployment or production ML systems.
Familiarity with performance analysis profiling tools or numerical accuracy validation.
Exposure to distributed training or inference systems.
Experience with hardware-accelerated ML compilers or system-level performance considerations.
Familiarity with CI/CD systems used for ML workflows.
Experience contributing to open-source ML frameworks or tooling.
Benefits
In addition to a competitive salary Graphcore offers flexible working a generous annual leave policy private medical insurance and health cash plan a dental plan pension (matched up to 5%) life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health mental wellbeing and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; were committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time we are unable to provide visa sponsorship or support for visa applications
Required Experience:
Staff IC
