Apple

Apple

Posted via Apple Careers

AIML - ML Researcher, AFM

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
Education
PhD, or equivalent practical experience, in Computer Science, or related technical field.

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Role Summary

AI-generated

This role joins a team developing foundation models and deep learning systems across the full training lifecycle, including pre-training, mid-training, reward modeling, and model alignment. The work spans end-to-end voice interactions, natural language processing, and combining learning with knowledge for experiences integrated into Apple products and operating systems.

What You'll Do

  • Develop pre-training and mid-training approaches for foundation models.
  • Engineer models optimized for Apple silicon and integrated operating-system experiences.
  • Research reward modeling approaches to resist reward hacking and handle sparse and delayed rewards in agentic settings.
  • Align models across open-ended creative tasks and precise action-taking workflows.
  • Tackle deep learning problems involving end-to-end voice interactions and natural language processing.
  • Combine learning with knowledge in foundation model systems.

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

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Qualifications

Demonstrated expertise in deep learning with publication record in relevant conferences or a track record in applying deep learning techniques to products; proficient programming skills in Python and one of JAX, PyTorch, or Tensorflow; ability to work in a collaborative environment.

Required

  • Deep learning expertise
  • Publication record in relevant conferences or a track record applying deep learning techniques to products
  • Python
  • 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

  • Code Large language models
  • Building end-to-end voice models
  • Speech recognitions and generations
  • Reinforcement learning
  • On-policy distillation
  • Post-training large language models
  • Mid-training large language models

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 end-to-end voice interactions, natural language processing, and combining learning with knowledge.

Minimum Qualifications

Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
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

Code Large language models
Experience in building end-to-end voice models
Experience in speech recognitions and generations
Experience in reinforcement learning, on-policy distillation
Experience in post-training, mid-training large language models

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.