Machine Learning Scientist, Personalization Science - Apple Media Products

Apple Inc.
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Job 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.

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.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Company Info.

Apple Inc.

Headquartered in Cupertino, California, Apple Inc. is a multinational technology company that focuses on producing consumer electronics, software, and online services. It holds the distinction of being the world's largest technology company by revenue and the world's biggest company by market capitalization as of June 2022. Apple is the second-largest mobile phone manufacturer and the fourth-largest personal computer vendor by unit sales.

  • Industry
    Computer software,Consumer electronics
  • No. of Employees
    154,000
  • Location
    1 Apple Park Way, Cupertino, California 95014, USA
  • Website
  • Jobs Posted

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Apple Inc. is currently hiring Machine Learning Scientist Jobs in Cupertino, CA, USA with average base salary of $175,800 - $312,200 / Year.

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