{"id":73857,"url":"https://alion.io/job/graphcore-senior-machine-learning-engineer-large-systems-3","title":"Senior Machine Learning Engineer (Large Systems)","company":{"id":33,"name":"Graphcore","domain":"graphcore.ai","url":"https://alion.io/company/graphcore","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":138,"ghost_share":0,"stale_share":0.109,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gdańsk, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":115000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"CUDA","optional":true},{"name":"HPC","optional":true},{"name":"InfiniBand","optional":true},{"name":"Kubernetes","optional":true},{"name":"NVLink","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-07-06T16:33:17Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-11-07T11:07:07Z","board_verified":true,"closed_at":null,"days_open":123,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":123},"description":"Senior: PLN 260,400 - 352,200 Staff: PLN 350,700 - 474,400 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level About Graphcore \nAt Graphcore, we’re building the future of AI compute.\nWe’re 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.\nAs part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.\nTo meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.\nWe 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\n\nJob Summary\nAs a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.\n\nThe Team\nThe Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.\nIf you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!\nResponsibilities and Duties\nImplement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.\nTest and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.\nBenchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.\nDesign and conduct experiments on novel AI methods, implement them and evaluate results.\nCollaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.\nEngage with AI community and keep in touch with the latest developments in AI.\n\nCandidate Profile\n\nEssential:\nBachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.\nProficiency in deep learning frameworks like PyTorch/JAX.\nStrong Python or C++ software development skills\nExpertise in deep learning from model training to optimisation and evaluation.\nCapable of designing, executing and reporting from ML experiments.\nDeveloped deep understanding of performance bottlenecks and how to overcome them.\nAbility to move quickly in a dynamic environment\nEnjoy cross-functional work collaborating with other teams.\nStrong communicator - able to explain complex technical concepts to different audiences.\nDesirable:\nExperience in one or more of:MLOps for Kubernetes-based clusters\nBuilding production systems with large language models\nEfficient computing based on low-precision arithmetic.\n\nExperience writing C++/Triton/CUDA kernels for performance optimisation of ML models.\nExperience in distributed training or inference of ML models across 64+ accelerators.\nFamiliarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.\nHave contributed to open-source projects or published research papers in relevant fields.\nKnowledge of cloud computing platforms.\nKeen to present, publish and deliver talks in the AI community.\nBenefits\nIn addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re 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. 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