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. This is an opportunity to join a category-defining company at an early stage and help shape its trajectory.

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. Drive productionisation and serving of models from the research side, including improving inference efficiency via techniques such as quantisation.

Qualifications Must have strong understanding of modern ML architectures and large-scale training pipelines. Hands-on experience running distributed training jobs on multi-GPU systems. Strong programming skills in Python. Knowledge of PyTorch and Triton internals. Programming experience with C++ and CUDA. Relocation support for employees moving to join the team in an office location.

📌 Senior Applied Research Engineer | Barcelona (Madrid)
🏢 Source Technology
📍 Madrid