JobsAIML - Machine Learning Researcher, Foundation Models
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AIML - Machine Learning Researcher, Foundation Models

Apple

Location

Cupertino, CA, New York City, NY, Seattle, WA

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

PhD Entry-Level
Approval 98.9%·Filings 5,543·New hires 2,691·
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·FY 2025

Job description

The role involves working with a team of engineers and researchers at Apple to develop foundation models that enhance various products. The focus is on advancing deep learning algorithms and techniques to solve real-world problems, particularly in natural language processing and multi-modal understanding. Candidates will have the opportunity to publish their findings and directly impact user experiences. The team values collaboration and innovation in applying deep learning to create novel applications.

Requirements

  • Demonstrated expertise in deep learning with a publication record in relevant conferences.
  • Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
  • PhD or equivalent practical experience in Computer Science or a related technical field.
  • Ability to work in a collaborative environment.

Responsibilities

  • Develop algorithms, techniques, and systems that advance deep learning.
  • Identify and develop novel applications of deep learning in Apple products.
  • Collaborate with a team of engineers and scientists to tackle challenging problems in foundation models.
  • Apply learning to real-world use cases to drive breakthroughs in deep learning.

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

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