Apple

Apple

Posted via Apple Careers

AIML - Machine Learning Engineer, Foundation Models

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Cupertino, California, United States New York City, New York, United States
Work arrangement
On-site
Employment
Full-time
Experience
Proven track record in training or deployment of large models or building large-scale distributed systems.
Education
PhD, or equivalent practical experience, in Computer Science, or related technical field.

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Role Summary

AI-generated

This role develops deep learning and foundation model applications for Apple products, working across natural language processing, multi-modal understanding, and learning with knowledge. The work spans research and product development, with ideas translated into published research and improvements to user experiences.

What You'll Do

  • Identify novel applications of deep learning in Apple products.
  • Develop novel applications of deep learning in Apple products.
  • Tackle challenging problems in foundation models and deep learning.
  • Work across natural language processing, multi-modal understanding, and combining learning with knowledge.
  • Publish research papers and improve Apple product experiences.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Proven track record in training or deployment of large models or building large-scale distributed systems; proficient programming skills in Python and one of JAX, PyTorch, or TensorFlow; ability to work in a collaborative environment; PhD or equivalent practical experience in Computer Science or a related technical field.

Required

  • Training or deployment of large models or building large-scale distributed systems
  • Programming skills in Python and JAX, PyTorch, or TensorFlow
  • Ability to work in a collaborative environment
  • PhD or equivalent practical experience in Computer Science or a related technical field

Preferred

  • Web-scale information retrieval
  • Human-like conversation agent
  • Multi-modal perception for existing products and future hardware platforms
  • On-device intelligence and learning with strong privacy protections

Original job description

Content provided by the employer

Summary

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.

Description

We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.

Responsibilities

You will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users.

Minimum Qualifications

Proven track record in training or deployment of large models or building large-scale distributed systems.
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
Ability to work in a collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.

Preferred Qualifications

Web-scale information retrieval
Human-like conversation agent
Multi-modal perception for existing products and future hardware platforms
On-device intelligence and learning with strong privacy protections

Pay & Benefits — Cupertino, California, United States

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 $184,700 and $324,800, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Pay & Benefits — Seattle, Washington, United States

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 $175,000 and $308,500, 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.
Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.