Graphcore

Senior Machine Learning Engineer (Large Systems)

260.4k - 352.2k PLN260 400 - 352 200 PLN/ rok./ rok.UoPUmowa o pracę (brutto)

350.7k - 474.4k PLN350 700 - 474 400 PLN/ rok./ rok.UoPUmowa o pracę (brutto)

SeniorOn-site·GdańskFull-time·Umowa o pracę

#383235·Dodano 3 miesiące temu·2

Źródło: Graphcore

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Tech Stack / Keywords

Machine LearningAISoftware DevelopmentData SciencePyTorch Python C++MLOps

Firma i stanowisko

Graphcore is a company building the future of AI compute, combining semiconductor, software, and AI expertise to create a complete AI compute stack from silicon to datacenter-scale infrastructure. As part of the SoftBank Group, it delivers technology into the SoftBank AI ecosystem and is expanding its teams worldwide.

Wymagania

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 and JAX.
Strong software development skills in Python or C++.
Expertise in deep learning including training, optimization, and evaluation.
Experience with distributed training or inference across 64+ accelerators.
Ability to design, execute, and report on ML experiments.
Deep understanding of performance bottlenecks and solutions.
Ability to work quickly in a dynamic environment and collaborate cross-functionally.
Strong communication skills for explaining technical concepts.

Desirable:

Experience with MLOps for Kubernetes-based clusters.
Building production systems with large language models.
Efficient computing using low-precision arithmetic.
Writing C++, Triton, CUDA kernels for performance optimization.
Familiarity with HPC systems and networking technologies like Infiniband, NVLink, and RoCE.
Contributions to open-source projects or published relevant research.
Knowledge of cloud computing platforms.
Willingness to present, publish, and deliver talks in the AI community.

Obowiązki

Implement latest machine learning models and optimize them for performance and accuracy, scaling to thousands of accelerators.
Test and evaluate new internal software releases, provide feedback, fix code, and conduct code reviews.
Benchmark models and ML techniques to identify bottlenecks and improve efficiency.
Design, conduct experiments on novel AI methods, implement and evaluate results.
Collaborate with Research, Software, and Product teams to build and test next-generation AI hardware.
Engage with AI community and stay updated on latest AI developments.

Benefity

Competitive salary.
Annual leave policy.
Medical and dental health plans.
Gym card.
Employee pension with matched contributions up to 4%.

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Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Graphcore

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