At a Glance
- Tasks: Research and develop cutting-edge AI/ML models for music recommendations.
- Company: Join Apple Music's innovative team passionate about connecting artists and fans.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Diverse team environment with a commitment to accessibility and inclusion.
- Why this job: Make a real impact on how millions discover their next favourite songs.
- Qualifications: Experience in ML recommender systems and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Join the team that helps all Apple Music users discover music they will love. We are behind some of the most popular features in Apple Music, including the Home and New tabs, Discovery Station and Playlist Playground. Music is our passion, and our aim is to connect artists with music fans. Two people are always on our minds: the listener trying to find their next favourite, and the artist trying to be found.
Our team members come from 10 countries, creating a diverse, open-minded environment in which we help each other do amazing work and grow. 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.
Your work at Apple Music will become part of a product that deeply cares for music and for the privacy of our users in a way no other company can match. We work at massive scale and across a wide variety of personalisation products that touch every aspect of the Apple Music experience.
You will research AI/ML models for recommendation, bespoke and foundational, that push the state of the art. You will train and fine-tune them on huge GPU grids and massive quantities of data, and help deploy them into our large-scale, low-latency services. You will run experiments, translate results into product decisions and publish what you find.
You will work alongside some of the best researchers and engineers in the field, connected to Apple's wider internal ML research community. We hire great people and trust them to do their best work. It's the people who make it exciting to work here every day, and you will be one of them.
Minimum Qualifications
- Track record of leading ML recommender system projects from research through to production at scale
- Peer-reviewed publications at venues such as RecSys, SIGIR, KDD, ISMIR, NeurIPS, ICLR, ICML or related
- Expertise in modern recommender methods (e.g. multi-interest, neural ranking, RL, sequential, generative)
- Solid experience with Python ML toolkits such as TensorFlow or PyTorch
- Excellent communication and presentation skills
- A PhD/MSc in computer science, statistics, applied mathematics or related field, or equivalent education/experience
Preferred Qualifications
- Familiarity with LLM methods applied to recommendation
- Experience with counterfactual evaluation
- Experience with Spark SQL
- Love of music
At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Machine Learning Researcher - Apple Music - Recommender Systems in London employer: Omaze
At Apple Music, we foster a vibrant and inclusive work culture where innovation thrives, and every team member is empowered to contribute to the music discovery experience. With a commitment to employee growth, we offer opportunities to collaborate with leading experts in machine learning while working on cutting-edge projects that impact millions of users globally. Our diverse team, passionate about music and technology, ensures that you will find a rewarding and meaningful career here.
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We think you need these skills to ace Machine Learning Researcher - Apple Music - Recommender Systems in London
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