AIML - Machine Learning Engineer, Foundation Models

Apple Inc.; Cupertino (CA); On-site; USD 181,100 - 318,400; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase program

Tuition reimbursement for education

Job summary

Apple Inc. is looking for a Machine Learning Engineer, Foundation Models to join their Cupertino team. This role involves developing novel applications of deep learning that enhance user experiences across Apple products, working with world-class engineers and scientists on cutting-edge challenges.

Ideal candidates will hold a PhD or equivalent experience in Computer Science and be proficient in Python, with skills in deep learning toolkits like JAX or PyTorch. Apple offers comprehensive benefits including stock options and educational reimbursements.

Qualifications

• Proven track record in training or deployment of large models or building large-scale distributed systems.
• Ability to work in a collaborative environment.

Responsibilities

• Identify and develop novel applications of deep learning in Apple products.
• Work with a fast-growing team to tackle challenging problems in foundation models and deep learning.

Skills

Proficient programming skills in Python

Experience with deep learning toolkits (JAX, PyTorch, TensorFlow)

Collaborative working abilities

Education

PhD or equivalent practical experience in Computer Science

Tools

JAX

PyTorch

TensorFlow

Job description

AIML - Machine Learning Engineer, Foundation Models

Cupertino, California, United States Machine Learning and AI

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

• Human‑like conversation agent
• Multi‑modal perception for existing products and future hardware platforms
• On‑device intelligence and learning with strong privacy protections

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 $181,100 and $318,400, 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 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.