Senior Machine Learning Engineer Music Recommendation Engine

Here at Apple new ideas have a way of becoming great products very quickly and innovation never stops. Bring passion and dedication to your job and theres no telling what you could Music ML team within Apple Services Engineering is responsible for personalisation and recommendation in Apple Music. We are looking for an experienced Software or Machine Learning Engineer to help design and run our customer-facing recommendation services reliably efficiently and with dedication to delivering relevant and diverse music to our users. nnMusic is our passion and our aim is to connect artists to music lovers like ourselves. We build amazing experiences for our users while respecting their privacy. Our team is a friendly bunch of people from more than 10 countries. We help each other grow and realise the best work for our also part of a larger team at Apple Services Engineering and beyond. We work together to realise a single unified vision making use of Apples unique integration of hardware software and services. And although services are a bigger part of Apples business than ever before these teams remain small nimble and cross-functional offering great opportunities to collaborate and grow.

The Music ML team within Apple Services Engineering is looking for a great Software or Machine Learning Engineer to build and improve the features and services driving Apple Music 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 machine learning systems and distributed systems that serve recommendations to users around the are responsible for the full lifecycle: collaboration with the Product team system design implementation continuous optimisation and this sounds exciting to you wed love to hear from you. Adding a cover letter to explain your passion for this particular job is greatly appreciated.

Building products and services for millions of users with a focus on great customer experience and privacynDeveloping complex systems that integrate data from many sources to deliver on-the-fly personalisation with low latencynTuning performance considering both latency and throughputnDeploying our systems globally for improved resiliency and end-user experiencenCollaborating across teams to take new user-facing features from conception to productionnWorking within our team to develop and deploy massive datasets to improve personsalised featuresnPrototyping algorithm changes and launching A/B tests to measure changes to personalised products

Hands-on experience engineering and maintaining large distributed backend systemsnHands-on experience with applied machine learning systems at production scalenUnderstanding of concurrency algorithms and object oriented programmingnEffective collaboration with researchers to improve machine learning models

A vision of how to engineer modern ML-driven pipelines APIs and services at scale with fast iteration cyclesnAbility to own and lead projects from conception through to design and implementationnExperience with recommender systems feature engineeringnExperience designing and running customer-facing A/B tests