Machine Learning Researcher - Apple Music - Music Intelligence
Join the team that creates the algorithms underpinning all Apple Music recommendations. Our passion is to connect people to amazing music, and we power some of the most loved Apple Music features, including the Favourites Mix, the Discovery Station, and the Home and New tabs.
Music Intelligence is part of this endeavour. You will research cutting edge algorithms for music understanding, description, categorisation and retrieval, make use of massive amounts of training data and large GPU grids, and see your work being applied to a growing catalogue of hundreds of millions of items.
Our team members come from 10 countries, creating a diverse, open-minded environment in which we help each other do outstanding work and grow personally.
We regularly publish research papers at high-quality peer-reviewed conferences, and you will also be part of Apple’s wider internal ML research community.
The best thing is: here at Apple, innovation never stops. Bring dedication to your job, and you will be part of the innovation that enriches our users lives — the possibilities are boundless.
As a Music Intelligence researcher at Apple, you will develop and deploy algorithms for understanding audio, metadata, lyrics and user behaviour in order to represent, retrieve, categorise and describe music. The overarching goal is to deliver the best experience for Apple Music users, with highly relevant and beautifully explained recommendations.
You'll work on some of the most interesting problems in industry-scale machine learning, with state of the art resources at Apple, including huge compute grids, top-quality machine learning tools, and massive quantities of data.
We strongly rely on machine learning, artificial intelligence, Bayesian modelling and A/B testing. For any project you will be part of a team consisting of other researchers, engineers, product managers, editors and evaluation specialists. Together we will integrate your work into products that bring joy to all Apple Music users.
Is this you? If so we'd love to hear from you.
- Expertise in modern ML and AI methods for content representation, description and categorisation
- Fluent in Python ML frameworks such as TensorFlow and PyTorch
- Proven track record of outstanding research publications in AI/ML, ideally with an emphasis on content understanding
- Excellent communication and presentation skills
- A PhD/MSc in computer science, statistics, applied mathematics or related field, or equivalent education or industry experience
- Experience in Spark or other large-scale data analytics frameworks
- Familiarity with ontologies for data representation
- Experience with Scala or Java
- Love of music