The Music ML team within Apple Services Engineering is looking for a great Software Engineer to build and improve the features and services driving Apple Music personalisation. Our team is responsible for providing personalised features for Apple Music including Home, New, Radio, and Personal Mixes. Our work includes data analysis, large-scale offline pipelines, machine-learned model training and inference, and online services to provide real-time personalised experiences. Our growing London-based team builds and evolves global-scale, leading-edge dynamic data systems. We are responsible for the full lifecycle: collaboration with the Product team, system design, implementation, continuous optimisation and improvement. Hands-on experience crafting highly scalable recommendations systems Understanding of concurrency, algorithms and object oriented programming A vision of how to engineer modern ML-driven systems that allow for fast iteration cycles Effective collaboration with researchers to improve recommendation algorithms A vision of how to engineer modern ML-driven pipelines, APIs and services at scale Extensive experience with object-oriented languages such as Java, C++, and Python