Senior Applied Research Engineer | AI | Spain (Barcelona) | Hybrid - barcelona
hace 4 días
Barcelona
Senior Applied Research Engineer | Barcelona, Spain We are partnered with a cutting-edge AI company shaping the future of enterprise decision-making. Founded by experienced technologists from leading research environments, the firm has developed a market-leading platform purpose-built for the structured data that underpins critical business decisions. Backed by top-tier investors and trusted by some of the world’s largest organisations, the company helps enterprises unlock significant value by enabling more accurate, forward-looking decision-making. You will work on novel technical challenges in large-scale model development and contribute to technology that is changing how major organisations operate. This is an opportunity to join a category-defining company at an early stage and help shape its trajectory. 📍Barcelona, Spain, Hybrid working 💷Competitive Salary + Equity + Benefits + Relocation Support if needed ⏱️Permanent Role Key responsibilities • Profile end-to-end distributed training runs to identify bottlenecks across compute, GPU memory, and inter-GPU communication., • Influence architectural decisions to improve efficiency and reliability of large-scale training jobs, including developing Triton/CUDA kernels when needed., • Design and implement model scaling, parallelisation, and memory optimisation techniques for training workloads with very large context sizes., • Collaborate closely with ML Researchers to diagnose architectural inefficiencies, ensure new research ideas scale efficiently in practice, and share internal knowledge on optimisation., • Strong understanding of modern ML architectures and large-scale training pipelines., • Hands-on experience running distributed training jobs on multi-GPU systems., • Advanced profiling and debugging across CPU, GPU, memory usage, latency, and inter-GPU communication., • Strong programming skills in Python., • Familiarity with NCCL, MPI, and distributed communication primitives., • Knowledge of PyTorch and Triton internals., • Programming experience with C++ and CUDA. Benefits • Competitive compensation with salary and equity and comprehensive benefits, • Relocation support for employees moving to join the team in an office location., • A mission-driven, low-ego culture valuing diversity of thought, ownership, and bias towards action. 📧If you are interested in this role, please respond directly to this advert with your updated CV or email it to