Machine Learning Scientist, Personalization Science - Apple Media Products
Apple
Full-time
On-site
Cupertino, California, United States
AI and Machine Learning
Description
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.
In this role, you will:
- 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.
Minimum Qualifications
- Master’s in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
- 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.
Key Qualifications
Preferred Qualifications
- PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.