Machine Learning Engineer – Anywhere

A machine learning engineer in this role works on developing and deploying state-of-the-art voice models and inference systems, ensuring optimal performance and reliability. The role involves implementing modern serving frameworks, model acceleration techniques, and scalable distributed systems using tools like CUDA, Python, and Kubernetes. They are expected to take full-cycle ownership of models, from research to production, and contribute to open-source projects or technical publications. Candidates should have a background in computer science, physics, or maths, with relevant practical experience in backend or ML systems. The role requires an analytical mindset, the ability to optimise code, and thrive within ambiguous environments. Focused on impact, this position emphasises performance, latency, and reliability as core features.