Machine Learning Research Scientist - Personalization Science, Apple Fitness+

Apple • Cupertino, CA

3h

About The Position

We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in artificial intelligence and machine learning. With your expertise, we want to develop novel solutions to power personalized experiences in Apple Fitness+ that enrich our customers' lives by helping them achieve their health and wellness goals. You will have the incredible opportunity to see your solutions deployed at Apple's truly incredible global scale.

Requirements

• Deep knowledge of machine learning-powered personalization algorithms, design patterns, and tools. In particular, this includes deep learning, reinforcement learning, and unsupervised learning methods.
• 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, and pandas.
• Technical competence in production-quality software development.
• Familiarity with big data technologies.
• Strong written & oral communication skills.
• MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.

Nice To Haves

• PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
• Knowledge of generative artificial intelligence applied to recommendation systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees