At a Glance
- Tasks: Validate and benchmark ML systems to ensure reliable AI performance.
- Company: Join Graphcore, a leader in AI technology with a collaborative culture.
- Benefits: Enjoy unlimited leave, matched pension, phantom equity, and flexible work options.
- Other info: Inclusive environment with opportunities for personal and professional growth.
- Why this job: Dive deep into AI systems and make a real impact on cutting-edge technology.
- Qualifications: Strong ML experience, Python skills, and a passion for system performance.
The predicted salary is between 70000 - 90000 £ per year.
Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why. You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs. This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.
The ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets. Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion. You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.
What we’re looking for:
- Strong experience in Machine Learning or ML-adjacent software engineering roles.
- A 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.
- Strong Python skills for automation, experimentation, benchmarking and reporting.
- Experience designing, running and analysing ML benchmarks or model experiments.
- Confident debugging skills in Linux, with curiosity about model behaviour and system performance.
Benefits:
- Unlimited annual leave
- Up to 5% matched pension
- Phantom equity - share in Graphcore's success
- True flexibility in how and where you work
- Office spaces designed for collaboration
- Free food and an on-site barista
- Health cash plan
- Income protection
- Life assurance
- Along with other benefits you can choose from (private medical insurance, dental plan etc)
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.
Staff Engineer (ML Engineer) employer: EngineersOfAI
Graphcore is an exceptional employer, offering a dynamic work environment where innovation thrives and every team member can contribute to groundbreaking advancements in AI technology. With a strong focus on employee growth, Graphcore provides ample opportunities for professional development and collaboration with industry experts, all while being part of the prestigious SoftBank Group. Located in a vibrant tech hub, employees enjoy a culture that values creativity, inclusivity, and the chance to make a significant impact in the rapidly evolving field of artificial intelligence.
