> Markdown version of [/jobs/ext/1642031-machine-learning-researcher-apple-music-recommender-systems](https://www.wearedevelopers.com/jobs/ext/1642031-machine-learning-researcher-apple-music-recommender-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Researcher - Apple Music - Recommender Systems - **Company:** Apple Inc. - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Apache Hive, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Large Language Models, Information Technology - **Published:** July 16, 2026 - **Apply:** https://www.totaljobs.com/job/machine-learning-researcher/apple-job107696781 ## About the Role * 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 ## Description 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. ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)