Senior Machine Learning Engineer - ML Systems & Frameworks
il y a 2 jours
Barcelona
Senior Machine Learning Engineer AI Systems & Frameworks Level: Senior (5-7 years) Location(s): Barcelona, Spain Job Type: Full-time About the role We are seeking a senior engineer to join our high-performance team, which partners with leading AI chip companies to deliver cutting-edge software that enables end-users to run Vision and Generative AI inference workloads efficiently on custom accelerators. As a Senior Machine Learning Engineer, you will be a key technical member of the team, working in a hands-on role to contribute to the design and development of frameworks, APIs, and runtime integrations that enable AI models to run seamlessly on next-generation hardware. You will also help shape technical direction, mentor junior engineers, and collaborate closely with the client's compiler/runtime and hardware architecture teams. This is not a traditional applied ML role. Instead, it requires deep software engineering expertise with strong exposure to AI/ML systems, ideal for someone who thrives in systems programming and performance optimization, and wants to pivot into the AI/ML domain while continuing to build on their proven experience in delivering robust, high-quality software. In this role, you will directly contribute to enabling large-scale AI workloads on custom hardware. What You'll Do • Define and implement software architecture and design patterns to ensure frameworks and applications are scalable, maintainable, and reusable., • Architect and develop Python/C++ frameworks for integrating ML models with custom runtimes., • Design and implement high-performance APIs, bindings, and libraries to support inference of Vision and Generative AI models., • Build and maintain Model Zoo, loaders, and optimization workflows to simplify model deployment., • Profile, debug, and optimize performance-critical paths in runtime and framework layers., • Develop real-time pipelines and applications using GStreamer, OpenCV, and other multimedia/ML frameworks., • Collaborate with compiler/runtime teams to ensure smooth integration of graph-level and operator optimizations., • Mentor and guide junior engineers; enforce software engineering best practices across design, testing, CI/CD, and code reviews., • 5–7+ years of professional experience in software engineering, ideally in systems programming or performance-critical applications., • Strong programming expertise in C++ (C++11/14/17) and Python., • Experience with C++/Python bindings (e.g., pybind11, SWIG)., • Strong fundamentals in:, • Data structures and algorithms, • Concurrency, threading, and synchronization, • Memory management, caching, and performance profiling, • Networking and streaming systems, • Exposure to ML frameworks (PyTorch, TensorFlow, ONNX Runtime) and how they interface with hardware runtimes., • Hands-on experience deploying vision or Generative AI models (transformers, diffusion models, LLM inference)., • Experience with multimedia/vision pipelines (e.g., GStreamer plugin development)., • Contributions to open-source ML systems projects (e.g., Hugging Face, ONNX Runtime, TensorRT)., • Opportunity to work on state-of-the-art AI systems with a world-class chip company., • A chance to be the anchor of a team, shaping its technical culture and delivery standards., • Continuous exposure to Vision and Generative AI workloads without being tied to repetitive applied ML tasks., • Growth path into architectural leadership across multiple projects.