Senior Machine Learning Engineer (Large Systems)

Join Graphcore, a leading AI technology company, as a Senior Machine Learning Engineer. In this role, you will develop and optimize AI models for our specialized hardware, work on large-scale systems, and collaborate with various teams to advance AI technology. Enjoy a flexible work-life balance, private medical insurance, a pension plan, and opportunities for career progression and personal development.

• Contribuer au développement et à l'optimisation des modèles d'IA adaptés au matériel spécialisé de Graphcore.
• Travailler sur des systèmes à grande échelle où la performance est critique, en collaboration avec les équipes de développement logiciel et de recherche.
• Participer à la conception, à l'exécution et à la communication des résultats des expériences en apprentissage automatique.
• 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
• If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
• Strong Python or C++ software development skills
• Enjoy cross-functional work collaborating with other teams
• Strong communicator - able to explain complex technical concepts to different audiences
• Experience in distributed training or inference of ML models across 64+ accelerators
• Developed deep understanding of performance bottlenecks and how to overcome them
• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field
• Capable of designing, executing and reporting from ML experiments
• Expertise in deep learning from model training to optimisation and evaluation
• Proficiency in deep learning frameworks like PyTorch/JAX
• Ability to move quickly in a dynamic environment
• Knowledge of cloud computing platforms
• Keen to present, publish and deliver talks in the AI community
• Have contributed to open-source projects or published research papers in relevant fields
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies
• Efficient computing based on low-precision arithmetic
• MLOps for Kubernetes-based clusters
• Building production systems with large language models
• Experience in one or more of: