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Apple Machine Learning Scientist Personalization Science - Apple Media Products United States, California, Cupertino 283483514
Yesterday
Description
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.
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.
Preferred Qualifications
- PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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