Machine Learning Researcher - Apple Music - Music Intelligence

Key Skills

Java Programming, Scala Programming, Machine learning techniques, PyTorch, TensorFlow, Effective communication skills

Job Description

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.

Minimum Qualifications

• 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

Preferred Qualifications

• Experience in Spark or other large-scale data analytics frameworks
• Familiarity with ontologies for data representation
• Experience with Scala or Java
• Love of music