Role overview
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 there's no telling what you could accomplish. The 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.
Responsibilities
- Building products and services for millions of users with a focus on great customer experience and privacy
- Developing complex systems that integrate data from many sources to deliver on-the-fly personalisation with low latency
- Tuning performance considering both latency and throughput
- Deploying our systems globally for improved resiliency and end-user experience
- Collaborating across teams to take new user-facing features from conception to production
- Working within our team to develop and deploy massive datasets to improve personsalised features
- Prototyping algorithm changes and launching A/B tests to measure changes to personalised products
Basic qualifications
- Hands-on experience engineering and maintaining large distributed backend systems
- Hands-on experience with applied machine learning systems at production scale
- Understanding of concurrency, algorithms and object oriented programming
- Effective collaboration with researchers to improve machine learning models
Preferred qualifications
- A vision of how to engineer modern ML-driven pipelines, APIs and services at scale, with fast iteration cycles
- Ability to own and lead projects from conception through to design and implementation
- Experience with recommender systems, feature engineering
- Experience designing and running customer-facing A/B tests
Tags & focus areas
Used for matching and alerts on DevFound Machine Learning Ai