Machine Learning Researcher - Apple Music - Recommender Systems

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.Is this you? If so, we'd love to hear from you.

• 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, * 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. Learn more 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.