Machine Learning Scientist - Personalization Science, Apple Media Products

We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple’s truly incredible global scale. Develop and apply state of the scientific art in machine learning and artificial intelligence to personalization of user experiences. Conduct human evaluation and rigorous experiments to test and improve your models. Derive insights from experimentation and convert them into feature improvements. Ship production quality code to deploy your models at global scale. Contribute to the scientific literature through publications and participation in leading academic conferences. Help chart the future growth of personalization across Apple's services ecosystem. 6+ years of relevant work experience. Deep knowledge of machine learning powered personalization algorithms, design patterns and tools. In particular, this includes deep learning, reinforcement learning and unsupervised learning methods. Knowledge of generative artificial intelligence applied to recommendation systems. Practical real-world experience with building scalable recommendation systems. Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, pytorch, scikit-learn, numpy-scipy-pandas. Technical competence in production-quality software development. Familiarity with big data technologies. Strong written & oral communication skills. Master’s in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc. PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.

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