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 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 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
Required Experience:
Senior IC
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 team is responsible for providing personalised features for Apple Music including Home New Radio and Personal Mixes. Our work includes data...
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 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 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
Required Experience:
Senior IC
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