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AIML - Machine Learning Researcher, Foundation Models

Apple

New York City, New York, U.S.
Full-time, Part-time, Contract, Regular, Temporary
Posted Aug 22, 2025
Onsite

Compensation

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About the role

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products.

Responsibilities

  • Develop algorithms, techniques, and systems that push the frontier of deep learning
  • Apply learning to real-world use cases
  • Tackle some of the most challenging problems in foundation models and deep learning
  • Identify and develop novel applications of deep learning in Apple products
  • Improve the experience of millions of users

Requirements

  • Demonstrated expertise in deep learning
  • Publication record in relevant conferences
  • Proficient programming skills in Python
  • PhD, or equivalent practical experience, in Computer Science

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan
  • Discretionary bonuses or commission payments
  • Relocation assistance

About the Company

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.

Job Details

Salary Range

$147,400 - $272,100/yearly

Location

New York City, New York, U.S.

Employment Type

Full-time, Part-time, Contract, Regular, Temporary

Original Posting

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