Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy algorithms for music understanding and recommendations.
- Company: Join Apple Music's innovative team focused on music intelligence.
- Benefits: Work with cutting-edge technology and a diverse, collaborative environment.
- Why this job: Be part of a team that enhances user experiences through music and AI.
- Qualifications: Expertise in ML methods, Python frameworks, and a strong research background required.
- Other info: Opportunity to publish research and engage with Apple's internal ML community.
The predicted salary is between 48000 - 72000 £ per year.
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.
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
#J-18808-Ljbffr
Machine Learning Researcher - Apple Music - Music Intelligence employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher - Apple Music - Music Intelligence
✨Tip Number 1
Make sure to showcase your expertise in modern ML and AI methods during the interview. Be prepared to discuss specific algorithms you've developed or worked with, especially those related to content representation and categorization.
✨Tip Number 2
Familiarize yourself with Apple Music's features and how machine learning enhances user experience. This knowledge will help you demonstrate your passion for the role and how your skills can contribute to their innovative projects.
✨Tip Number 3
Prepare to discuss your research publications in detail. Highlight any that focus on AI/ML and content understanding, as this will show your depth of knowledge and commitment to advancing the field.
✨Tip Number 4
Network with current or former employees of Apple Music, especially those in the Music Intelligence team. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
We think you need these skills to ace Machine Learning Researcher - Apple Music - Music Intelligence
Some tips for your application 🫡
Understand the Role: Dive deep into the job description for the Machine Learning Researcher position at Apple Music. Familiarize yourself with the specific algorithms and technologies mentioned, such as TensorFlow, PyTorch, and A/B testing, to tailor your application accordingly.
Highlight Relevant Experience: Make sure to showcase your expertise in modern ML and AI methods. Include specific examples of your work with content representation, description, and categorization, as well as any relevant research publications that demonstrate your capabilities.
Craft a Strong Cover Letter: Write a compelling cover letter that reflects your passion for music and technology. Explain how your background aligns with Apple's mission to enhance user experience through innovative music recommendations.
Prepare for Technical Questions: Anticipate technical questions related to machine learning and AI during the interview process. Brush up on your knowledge of algorithms, data analytics frameworks, and your previous research to confidently discuss your expertise.
How to prepare for a job interview at Apple
✨Showcase Your Research Experience
Be prepared to discuss your previous research publications in detail. Highlight how your work aligns with the cutting-edge algorithms used in music understanding and categorization, as this will demonstrate your expertise and relevance to the role.
✨Demonstrate Technical Proficiency
Make sure to showcase your skills in Python and familiarity with ML frameworks like TensorFlow and PyTorch. You might be asked to solve a technical problem or explain your approach to a specific algorithm, so brush up on your coding skills and be ready to dive deep into technical discussions.
✨Communicate Clearly
Excellent communication skills are crucial for this role. Practice explaining complex concepts in a simple way, as you will need to collaborate with team members from diverse backgrounds. Be ready to present your ideas clearly and confidently during the interview.
✨Understand the Music Industry
Familiarize yourself with Apple Music's features and how machine learning enhances user experience. Showing that you understand the intersection of music and technology will set you apart and demonstrate your passion for the role.
