Machine Learning Scientist, Personalization Science - Apple Media Products

Apple; Cupertino (CA); On-site; USD 175,000 - 313,000; Full time

Job summary

An established industry player is seeking a Machine Learning Scientist to drive innovations in personalization science. This role offers the chance to develop cutting-edge machine learning models that enhance user experiences across a variety of platforms. You will conduct rigorous evaluations, derive insights, and see your work impact millions of users globally. Join a dynamic team that combines art and technology, committed to delivering high-performance solutions while upholding privacy values. This is an exciting opportunity to be at the forefront of technology in a company known for its commitment to excellence and innovation.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discounted products and free services

Qualifications

• Experience in developing machine learning models for personalization.
• Strong grasp of Python ML/AI tech stack and big data technologies.

Responsibilities

• Develop machine learning models for personalized user experiences.
• Conduct experiments to test and improve models.

Skills

Machine Learning Algorithms

Deep Learning

Reinforcement Learning

Unsupervised Learning

Python Programming

Communication Skills

Education

Master’s in Computer Science

PhD in a Quantitative Field

Tools

TensorFlow

PyTorch

scikit-learn

NumPy

Pandas

Job description

Machine Learning Scientist, Personalization Science - Apple Media Products

**Cupertino, California, United States**

**Software and Services**

**Summary**

Posted: **Apr 25, 2025**

Weekly Hours: **40**

Role Number: **200590563**

Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Research, design and develop machine learning models that personalize the App Store for billions of users worldwide! Propose, prototype and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide!

The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here.

**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. (https://www.apple.com/careers/us/benefits.html)

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 seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.